1 code implementation • 1 May 2024 • Yifan Guo, Zhongqiang Ren, Chen Wang
We address these issues by reformulating MTSP as a bilevel optimization problem, using the concept of imperative learning (IL).
no code implementations • 17 Apr 2024 • Linfang Zheng, Tze Ho Elden Tse, Chen Wang, Yinghan Sun, Hua Chen, Ales Leonardis, Wei zhang
Object pose refinement is essential for robust object pose estimation.
2 code implementations • 12 Apr 2024 • Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Başar, Ravishankar K. Iyer
Large language models (LLMs) have been driving a new wave of interactive AI applications across numerous domains.
2 code implementations • 7 Apr 2024 • Zihan Wang, Bowen Li, Chen Wang, Sebastian Scherer
Few-shot object detection has drawn increasing attention in the field of robotic exploration, where robots are required to find unseen objects with a few online provided examples.
no code implementations • 6 Apr 2024 • Siyu Chen, Kangcheng Liu, Chen Wang, Shenghai Yuan, Jianfei Yang, Lihua Xie
Visual Odometry (VO) is vital for the navigation of autonomous systems, providing accurate position and orientation estimates at reasonable costs.
no code implementations • 4 Apr 2024 • Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Ll. Berral
Large language models (LLMs) have revolutionized the state-of-the-art of many different natural language processing tasks.
1 code implementation • 2 Apr 2024 • Zhipeng Zhao, Bowen Li, Yi Du, Taimeng Fu, Chen Wang
To bridge this gap, we present PhysORD, a neural-symbolic approach integrating the conservation law, i. e., the Euler-Lagrange equation, into data-driven neural models for motion prediction in off-road driving.
no code implementations • 28 Mar 2024 • Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
However, the gap between training objectives and the discrepancy between data distributions in pretraining and downstream tasks hinders the transfer of the pretrained knowledge.
no code implementations • 27 Mar 2024 • Chen Wang, Jin Zhao, Jiaqi Gong
Recent advancements in Large Language Models (LLMs), particularly those built on Transformer architectures, have significantly broadened the scope of natural language processing (NLP) applications, transcending their initial use in chatbot technology.
1 code implementation • 17 Mar 2024 • Tongfan Guan, Chen Wang, Yun-hui Liu
Stereo matching is a core task for many computer vision and robotics applications.
no code implementations • 14 Mar 2024 • Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics.
no code implementations • 12 Mar 2024 • Chen Wang, Haochen Shi, Weizhuo Wang, Ruohan Zhang, Li Fei-Fei, C. Karen Liu
Imitation learning from human hand motion data presents a promising avenue for imbuing robots with human-like dexterity in real-world manipulation tasks.
no code implementations • 23 Feb 2024 • Yuzhe Zhang, YiPeng Zhang, Yidong Gan, Lina Yao, Chen Wang
We propose a novel method that utilizes the extensive knowledge contained within a large corpus of scientific literature to deduce causal relationships in general causal graph recovery tasks.
no code implementations • 14 Feb 2024 • Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu
Recognizing the critical role of confidence in aligning training objectives with evaluation metrics, we propose CPFT, a versatile framework that enhances recommendation confidence by integrating Conformal Prediction (CP)-based losses with CE loss during fine-tuning.
no code implementations • 14 Feb 2024 • Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu
Recent studies have shown that recommender systems (RSs) are highly vulnerable to data poisoning attacks.
no code implementations • 11 Feb 2024 • Zhibo Hu, Chen Wang, Yanfeng Shu, Helen, Paik, Liming Zhu
In this work, we find that the insertion of even a short prefix to the prompt leads to the generation of outputs far away from factually correct answers.
no code implementations • 7 Feb 2024 • Chen Wang, Sarah Erfani, Tansu Alpcan, Christopher Leckie
Our offline learning model is an adaptation of behavioural cloning with a transformer policy network, where we modify the training process to learn a Q function and a state value function from normal trajectories.
1 code implementation • 3 Feb 2024 • Bo Yang, Chen Wang, Xiaoshuang Ma, Beiping Song, Zhuang Liu
To address this gap, our study introduces a novel zero-shot, sketch-based retrieval method for remote sensing images, leveraging multi-level feature extraction, self-attention-guided tokenization and filtering, and cross-modality attention update.
no code implementations • 2 Feb 2024 • Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Başar
No-regret learning has a long history of being closely connected to game theory.
no code implementations • 26 Dec 2023 • Tiezheng Guo, Qingwen Yang, Chen Wang, Yanyi Liu, Pan Li, Jiawei Tang, Dapeng Li, Yingyou Wen
Large language model (LLM) has achieved outstanding performance on various downstream tasks with its powerful natural language understanding and zero-shot capability, but LLM still suffers from knowledge limitation.
no code implementations • 14 Dec 2023 • Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk
Motivated by the impressive open-set performance and content generation capabilities of web-scale, large-capacity pre-trained models (i. e., foundation models) in research fields such as Natural Language Processing (NLP) and Computer Vision (CV), we devote this survey to exploring (i) how these existing foundation models from NLP and CV can be applied to the field of robotics, and also exploring (ii) what a robotics-specific foundation model would look like.
no code implementations • 7 Dec 2023 • Kang Ge, Chen Wang, Yutao Guo, Yansong Tang, Zhenzhong Hu, Hongbing Chen
Two parameter-efficient fine-tuning methods, adapter and low-rank adaptation, are adopted to fine-tune the foundation model in semantic segmentation: the Segment Anything Model (SAM).
no code implementations • 4 Dec 2023 • Zitong Zhan, Dasong Gao, Yun-Jou Lin, Youjie Xia, Chen Wang
Learning feature correspondence is a foundational task in computer vision, holding immense importance for downstream applications such as visual odometry and 3D reconstruction.
no code implementations • 4 Dec 2023 • Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava
Compared to IIST, such approaches provide more flexibility with text-specified styles, which are useful in scenarios where the style is hard to define with reference images.
no code implementations • 1 Dec 2023 • Chengkun He, Xiangmin Zhou, Chen Wang, Iqbal Gondal, Jie Shao, Xun Yi
After that, we propose a novel model update scheme that incrementally maintains CLSTM and decoder.
no code implementations • 20 Nov 2023 • Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
Participant recommendation, a fundamental problem emerging together with GB, aims to find the participants for a launched group buying process with an initiator and a target item to increase the GB success rate.
1 code implementation • 16 Nov 2023 • Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
The users' group participation on social platforms reveals their interests and can be utilized as side information to mitigate the data sparsity and cold-start problem in recommender systems.
no code implementations • 2 Nov 2023 • Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu
We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals.
1 code implementation • 20 Oct 2023 • Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
Collectively, our contributions signify a substantial stride towards augmenting the panorama of recommendation diversity within the realm of KG-informed RecSys paradigms.
1 code implementation • 20 Oct 2023 • Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
On the other hand, pretraining and finetuning on the same dataset leads to a high risk of overfitting.
no code implementations • 18 Oct 2023 • Chen Wang, Victoria Huang, Gang Chen, Hui Ma, Bryce Chen, Jochen Schmidt
In this paper, we introduce a novel sensor placement approach focused on learning improvement heuristics using deep reinforcement learning (RL) methods.
no code implementations • 13 Oct 2023 • Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
However, PLMs often overlook the vital collaborative filtering signals, leading to challenges in merging collaborative and semantic representation spaces and fine-tuning semantic representations for better alignment with warm-start conditions.
no code implementations • 11 Oct 2023 • Ye Li, Chen Wang
In contrast, at the height of the global financial crisis, more than 2. 2% of market value is from dividends in the next year, implying a duration of 46 years.
no code implementations • 9 Oct 2023 • Jiawei Yao, Chen Wang, Tong Wu, Chuming Li
In this paper, we propose a novel method for 3D scene and object reconstruction from sparse multi-view images.
1 code implementation • 7 Oct 2023 • Yuheng Qiu, Chen Wang, Can Xu, Yutian Chen, Xunfei Zhou, Youjie Xia, Sebastian Scherer
In contrast, data-driven IO methods struggle to accurately model the sensor motions, often leading to generalizability and interoperability issues.
no code implementations • 6 Sep 2023 • Sepehr Assadi, Chen Wang
Here, $n$ is the number of arms and $\Delta$ is the reward gap between the best and the second-best arms.
1 code implementation • 2 Sep 2023 • Chen Wang, Minpeng Liao, Zhongqiang Huang, Jinliang Lu, Junhong Wu, Yuchen Liu, Chengqing Zong, Jiajun Zhang
One is a cascaded approach where outputs (tokens or states) of a separately trained speech recognition system are used as inputs for LLMs, which limits their potential in modeling alignment between speech and text.
no code implementations • 2 Sep 2023 • Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu
However, the challenges arise due to the high-dimensional action space of dexterous hand and complex compositional dynamics of the long-horizon tasks.
no code implementations • ICCV 2023 • Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan Yuille, Adam Kortylewski
Animal3D consists of 3379 images collected from 40 mammal species, high-quality annotations of 26 keypoints, and importantly the pose and shape parameters of the SMAL model.
Ranked #1 on Animal Pose Estimation on Animal3D
1 code implementation • 18 Aug 2023 • Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
To address this issue, we propose a novel approach, graph-based alignment and uniformity (GraphAU), that explicitly considers high-order connectivities in the user-item bipartite graph.
no code implementations • 16 Aug 2023 • Shan Huang, Chen Wang, Yuan Yuan, Jinglong Zhao, Jingjing Zhang
We describe the identification assumptions, the estimation strategies, and the inference technique under this framework.
no code implementations • 16 Aug 2023 • Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
With the proliferation of social media, a growing number of users search for and join group activities in their daily life.
no code implementations • 13 Aug 2023 • Chen Wang, Zhongcai Pei, Shuang Qiu, Yachun Wang, Zhiyong Tang
Experiments on our dataset show that our method has a significant improvement over the previous best monocular vision method, with an intersection over union (IOU) increase of 3. 4 %, and the lightweight version has a fast detection speed and can meet the requirements of most real-time applications.
no code implementations • 8 Aug 2023 • Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu, Zhelun Shen, Dayan Wu, Yuchao Dai, Liangjun Zhang
However, the shape-radiance ambiguity of radiance fields remains a challenge, especially in the sparse viewpoints setting.
no code implementations • 28 Jul 2023 • Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang
By combining them, SEED reduces the human effort required in RLHF and increases safety in training robot manipulation with RL in real-world settings.
1 code implementation • 24 Jul 2023 • YiQing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan Yuille, Cihang Xie, Yuyin Zhou
To address this limitation, we present Masked Multi-view with Swin Transformers (SwinMM), a novel multi-view pipeline for enabling accurate and data-efficient self-supervised medical image analysis.
1 code implementation • 23 Jul 2023 • Tianan Li, Zhehan Chen, Huan Liu, Chen Wang
To address these challenges, we propose a Fast Depth Completion framework for Transparent objects (FDCT), which also benefits downstream tasks like object pose estimation.
1 code implementation • 12 Jul 2023 • Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei
The composed value maps are then used in a model-based planning framework to zero-shot synthesize closed-loop robot trajectories with robustness to dynamic perturbations.
1 code implementation • 26 Jun 2023 • Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
We explore the role of the fine-grained item attributes in bridging the gaps between the existing and the SCS items and pre-train a knowledgeable item-attribute graph for SCS item recommendation.
1 code implementation • 23 Jun 2023 • Jingyu Zhuang, Chen Wang, Lingjie Liu, Liang Lin, Guanbin Li
Neural fields have achieved impressive advancements in view synthesis and scene reconstruction.
no code implementations • 17 Jun 2023 • Jiajie Li, Jian Wang, Chen Wang, JinJun Xiong
In this paper, we present a novel approach for image harmonization by leveraging diffusion models.
1 code implementation • 13 Jun 2023 • Taimeng Fu, Shaoshu Su, Yiren Lu, Chen Wang
Simultaneous Localization and Mapping (SLAM) stands as one of the critical challenges in robot navigation.
1 code implementation • 3 Jun 2023 • Chen Wang
We first improve the regret lower bound to $\Omega(K^{1/3}T^{2/3})$ for algorithms with $o(K)$ memory, which matches the uniform exploration regret up to a logarithm factor in $T$.
no code implementations • NeurIPS 2023 • Zheng Chen, Yan-Pei Cao, Yuan-Chen Guo, Chen Wang, Ying Shan, Song-Hai Zhang
Unlike generalizable radiance fields trained on perspective images, PanoGRF avoids the information loss from panorama-to-perspective conversion and directly aggregates geometry and appearance features of 3D sample points from each panoramic view based on spherical projection.
no code implementations • 30 May 2023 • Jiwei Guan, Lei Pan, Chen Wang, Shui Yu, Longxiang Gao, Xi Zheng
As deep learning has been applied to increasingly sensitive tasks, uncertainty measurement is crucial in helping improve model robustness, especially in mission-critical scenarios.
no code implementations • 25 May 2023 • Linfeng Liang, Yao Deng, Yang Zhang, Jianchao Lu, Chen Wang, Quanzheng Sheng, Xi Zheng
Discrepancies in decision-making between Autonomous Driving Systems (ADS) and human drivers underscore the need for intuitive human gaze predictors to bridge this gap, thereby improving user trust and experience.
no code implementations • 22 May 2023 • Yifan Hong, Chen Wang
Humans tend to categorize objects based on a few key features.
no code implementations • 3 May 2023 • Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, DaCheng Tao
With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages.
1 code implementation • 30 Apr 2023 • Kedeng Tong, Xin Jin, Yuqing Yang, Chen Wang, Jinshi Kang, Fan Jiang
Also, it achieves 18. 73% bitrate saving and generates perceptually pleasant reconstructions compared to the state-of-the-art end-to-end image compression methods, which benefits the applications of focused plenoptic cameras greatly.
1 code implementation • 3 Apr 2023 • Aryan, Bowen Li, Sebastian Scherer, Yun-Jou Lin, Chen Wang
This results in a robust, accurate, and portable indoor relocalization system, which outperforms the state-of-the-art methods in room-level relocalization by 9. 5% of PR-AUC and 7% of accuracy.
no code implementations • 28 Mar 2023 • Yuan-Chen Guo, Yan-Pei Cao, Chen Wang, Yu He, Ying Shan, XiaoHu Qie, Song-Hai Zhang
With the emergence of neural radiance fields (NeRFs), view synthesis quality has reached an unprecedented level.
1 code implementation • CVPR 2023 • Linfang Zheng, Chen Wang, Yinghan Sun, Esha Dasgupta, Hua Chen, Ales Leonardis, Wei zhang, Hyung Jin Chang
In this paper, we focus on the problem of category-level object pose estimation, which is challenging due to the large intra-category shape variation.
no code implementations • 21 Mar 2023 • Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang
In this paper, we refocus our attention from the parameter space to the decision space of the DNN model, and propose Boundary Unlearning, a rapid yet effective way to unlearn an entire class from a trained DNN model.
no code implementations • 28 Feb 2023 • Zhenhong Huang, Chen Wang, Jianfeng Yao
As for the Cragg-Donald statistic, we obtain an asymptotically valid correction in the case of two endogenous variables.
no code implementations • 28 Feb 2023 • Zhenhong Huang, Chen Wang, Jianfeng Yao
This paper develops a new specification test for the instrument weakness when the number of instruments $K_n$ is large with a magnitude comparable to the sample size $n$.
no code implementations • 29 Jan 2023 • Guanglin Zhou, Shaoan Xie, GuangYuan Hao, Shiming Chen, Biwei Huang, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao, Kun Zhang
In the field of artificial intelligence (AI), the quest to understand and model data-generating processes (DGPs) is of paramount importance.
no code implementations • 10 Jan 2023 • Chen Wang, Angtian Wang, Junbo Li, Alan Yuille, Cihang Xie
We find that NeRF-based models are significantly degraded in the presence of corruption, and are more sensitive to a different set of corruptions than image recognition models.
no code implementations • CVPR 2023 • Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang
In this paper, we refocus our attention from the parameter space to the decision space of the DNN model, and propose Boundary Unlearning, a rapid yet effective way to unlearn an entire class from a trained DNN model.
1 code implementation • CVPR 2023 • Shishira R Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava
This design shares computation within each group, in the spatial and temporal dimensions, resulting in reduced encoding time of the video.
no code implementations • 2 Dec 2022 • Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang
Specifically, we design a selective module, which can make the network learn the complementary relationship between the RGB map and the depth map and effectively combine the information from the RGB map and the depth map in different scenes.
1 code implementation • 2 Nov 2022 • Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
PA layers efficiently learn the relatedness of non-neighbor nodes to improve the information propagation to users.
1 code implementation • 24 Oct 2022 • Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
However, it remains a significant challenge to model auxiliary item relationships in SR. To simultaneously model high-order item-item transitions in sequences and auxiliary item relationships, we propose a Multi-relational Transformer capable of modeling auxiliary item relationships for SR (MT4SR).
1 code implementation • 18 Oct 2022 • Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang, Chengqing Zong
Existing zero-shot methods fail to align the two modalities of speech and text into a shared semantic space, resulting in much worse performance compared to the supervised ST methods.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 3 Oct 2022 • Zhongyi Pei, Lin Liu, Chen Wang, Jianmin Wang
Today, many industrial processes are undergoing digital transformation, which often requires the integration of well-understood domain models and state-of-the-art machine learning technology in business processes.
no code implementations • 24 Sep 2022 • Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager
Using current NeRF training tools, a robot can train a NeRF environment model in real-time and, using our algorithm, identify 3D bounding boxes of objects of interest within the NeRF for downstream navigation or manipulation tasks.
no code implementations • 18 Sep 2022 • Shaojun Zhang, Chen Wang, Albert Zomaya
Dependency-aware job scheduling in the cluster is NP-hard.
no code implementations • 12 Sep 2022 • Zheng Chen, Chen Wang, Yuan-Chen Guo, Song-Hai Zhang
Neural Radiance Fields (NeRF) achieve photo-realistic view synthesis with densely captured input images.
no code implementations • 22 Aug 2022 • Chen Wang, Yinghua Wang, Yuxiao Li, Jialing Huang, Jie Huang, Cheng-Xiang Wang
Ray tracing is an efficient channel modeling method.
no code implementations • 13 Aug 2022 • Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao
Recognizing that confounders may be elusive, we propose a contrastive self-supervised learning to minimize exposure bias, employing inverse propensity scores and expanding the positive sample set.
no code implementations • 13 Aug 2022 • Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
We regularly consider answering counterfactual questions in practice, such as "Would people with diabetes take a turn for the better had they choose another medication?".
1 code implementation • 20 Jul 2022 • Huseyin Coskun, Alireza Zareian, Joshua L. Moore, Federico Tombari, Chen Wang
Specifically, we outperform the state of the art by 7% on UCF and 4% on HMDB for video retrieval, and 5% on UCF and 6% on HMDB for video classification
no code implementations • 25 Jun 2022 • Chen Wang, Minqiang Gu, Wenxi Kuang, Dongliang Wang, Weicheng Luo, Zhaohui Shi, Zhun Fan
This study proposes a distributed algorithm that makes agents' adaptive grouping entrap multiple targets via automatic decision making, smooth flocking, and well-distributed entrapping.
no code implementations • 4 May 2022 • Xian Wu, Chen Wang, Hongbo Fu, Ariel Shamir, Song-Hai Zhang, Shi-Min Hu
Researchers have explored various ways to generate realistic images from freehand sketches, e. g., for objects and human faces.
no code implementations • 14 Apr 2022 • Chen Wang, Sida Chen, Liang Huang, Lianchun Yu
In this study, we used a whole-brain model to show that heterogeneity in nodal excitability had a significant impact on seizure propagation in the networks, and compromised the prediction accuracy with structural connections.
no code implementations • 7 Apr 2022 • Yafei Hu, Junyi Geng, Chen Wang, John Keller, Sebastian Scherer
To the best of our knowledge, this work for the first time demonstrates value function prediction on real-world dataset for robot exploration in challenging subterranean and urban environments.
no code implementations • 29 Mar 2022 • Hao-Ming Fu, Patrick Poirson, Kwot Sin Lee, Chen Wang
While there is a rich literature of such works using advanced models for learning user and item representations separately, item recommendation is essentially a link prediction problem between users and items.
1 code implementation • CVPR 2022 • Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
The stereo contrastive feature loss function explicitly constrains the consistency between learned features of matching pixel pairs which are observations of the same 3D points.
no code implementations • 28 Feb 2022 • Shuai Li, Chen Wang, Guangming Xie
We study pursuit-evasion differential games between a faster pursuer moving in 3D space and an evader moving in a plane.
no code implementations • 23 Feb 2022 • Chen Wang, Luigi Vanfretti, Chetan Mishra, Kevin D. Jones, R. Matthew Gardner
This new mode was recognized from the analysis of real-world ambient synchrophasor and point-of-wave data.
2 code implementations • 22 Feb 2022 • Kedeng Tong, Xin Jin, Chen Wang, Fan Jiang
Light field image becomes one of the most promising media types for immersive video applications.
1 code implementation • 7 Feb 2022 • Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
We conduct a comprehensive analysis of users' online game behaviors, which motivates the necessity of handling those three characteristics in the online game recommendation.
no code implementations • 28 Jan 2022 • Haowei He, Jingzhao Zhang, Yanan Wang, Benben Jiang, Shaobo Huang, Chen Wang, Yang Zhang, Gengang Xiong, Xuebing Han, Dongxu Guo, Guannan He, Minggao Ouyang
In addition to demonstrating how existing deep learning algorithms can be applied to this task, we further develop an algorithm that exploits the data structure of battery systems.
no code implementations • 14 Jan 2022 • Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang
Staircases are some of the most common building structures in urban environments.
1 code implementation • 3 Dec 2021 • Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer
Few-shot object detection has attracted increasing attention and rapidly progressed in recent years.
1 code implementation • 3 Dec 2021 • Chen Wang, Xian Wu, Yuan-Chen Guo, Song-Hai Zhang, Yu-Wing Tai, Shi-Min Hu
We present NeRF-SR, a solution for high-resolution (HR) novel view synthesis with mostly low-resolution (LR) inputs.
1 code implementation • CVPR 2022 • Nikhil Varma Keetha, Chen Wang, Yuheng Qiu, Kuan Xu, Sebastian Scherer
In this context, we propose a novel temporal 3D object encoding approach, dubbed AirObject, to obtain global keypoint graph-based embeddings of objects.
1 code implementation • 18 Nov 2021 • Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian Scherer
Instead, we propose to develop a method that automatically adapts online to the environment to report interesting scenes quickly.
no code implementations • 16 Nov 2021 • Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
Then, we transfer the pre-trained graph encoder to initialize the node embeddings on the target domain, which benefits the fine-tuning of the single domain recommender system on the target domain.
1 code implementation • 29 Oct 2021 • Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
With the widespread accumulation of observational data, researchers obtain a new direction to learn counterfactual effects in many domains (e. g., health care and computational advertising) without Randomized Controlled Trials(RCTs).
no code implementations • 22 Oct 2021 • Huan Liu, Junsong Yuan, Chen Wang, Jun Chen
Despite recent improvement of supervised monocular depth estimation, the lack of high quality pixel-wise ground truth annotations has become a major hurdle for further progress.
no code implementations • 4 Oct 2021 • Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu
The successes of most previous methods heavily rely on rich node features and high-fidelity labels.
no code implementations • 29 Sep 2021 • Sepehr Assadi, Chen Wang
We present a new approach for solving (minimum disagreement) correlation clustering that results in sublinear algorithms with highly efficient time and space complexity for this problem.
1 code implementation • 21 Sep 2021 • Yuheng Qiu, Chen Wang, Wenshan Wang, Mina Henein, Sebastian Scherer
To the best of our knowledge, AirDOS is the first dynamic object-aware SLAM system demonstrating that camera pose estimation can be improved by incorporating dynamic articulated objects.
no code implementations • 21 Sep 2021 • Feng Zhang, Xiatian Zhu, Chen Wang
Human pose estimation in unconstrained images and videos is a fundamental computer vision task.
no code implementations • 19 Sep 2021 • Chen Wang, Feng Zhang, Xiatian Zhu, Shuzhi Sam Ge
Human pose estimation has achieved significant progress on images with high imaging resolution.
1 code implementation • 18 Sep 2021 • Dasong Gao, Chen Wang, Sebastian Scherer
Nevertheless, simply finetuning the model on new data is infeasible since it may cause the model's performance on previously learned data to degrade over time, which is also known as the problem of catastrophic forgetting.
no code implementations • 16 Aug 2021 • Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu
To enhance the accountability and fairness of federated learning systems, we present a blockchain-based trustworthy federated learning architecture.
1 code implementation • 13 Aug 2021 • Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese
Our method co-optimizes a human policy and a robot policy in an interactive learning process: the human policy learns to generate diverse and plausible collaborative behaviors from demonstrations while the robot policy learns to assist by estimating the unobserved latent strategy of its human collaborator.
1 code implementation • 6 Aug 2021 • Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín
Based on the study, we derive a series of lessons including the sensitivity to different algorithmic design choices, the dependence on the quality of the demonstrations, and the variability based on the stopping criteria due to the different objectives in training and evaluation.
no code implementations • 25 Jun 2021 • Wanqing Xie, Lizhong Liang, Yao Lu, Chen Wang, Jihong Shen, Hui Luo, Xiaofeng Liu
To automatically interpret depression from the SDS evaluation and the paired video, we propose an end-to-end hierarchical framework for the long-term variable-length video, which is also conditioned on the questionnaire results and the answering time.
no code implementations • 16 Jun 2021 • Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li, Chen Wang, Song-Hai Zhang
In this paper, we present a novel implicit glyph shape representation, which models glyphs as shape primitives enclosed by quadratic curves, and naturally enables generating glyph images at arbitrary high resolutions.
no code implementations • 21 May 2021 • Zichuan Liu, Rui Zhang, Chen Wang, Zhu Xiao, Hongbo Jiang
In an intelligent transportation system, the key problem of traffic forecasting is how to extract periodic temporal dependencies and complex spatial correlations.
no code implementations • 8 May 2021 • Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu
The results demonstrate that De-Pois is effective and efficient for detecting poisoned data against all the four types of poisoning attacks, with both the accuracy and F1-score over 0. 9 on average.
1 code implementation • 20 Apr 2021 • Jiwei Guan, Xi Zheng, Chen Wang, Yipeng Zhou, Alireza Jolfa
This technology enables drivers to use voice commands to control the vehicle and will be soon available in Advanced Driver Assistance Systems (ADAS).
no code implementations • 7 Apr 2021 • Xudong Li, Li Feng, Lei LI, Chen Wang
With a good understanding of environmental information, construction robots can work better.
1 code implementation • 30 Mar 2021 • David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen
Cancer is responsible for millions of deaths worldwide every year.
no code implementations • 9 Mar 2021 • Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie
In this paper, the circle formation control problem is addressed for a group of cooperative underactuated fish-like robots involving unknown nonlinear dynamics and disturbances.
no code implementations • 5 Mar 2021 • Xiaowei Zhou, Jie Yin, Ivor Tsang, Chen Wang
The widespread use of deep neural networks has achieved substantial success in many tasks.
no code implementations • 4 Mar 2021 • Chen Wang, Zhi-Wei Sun
For any $m, n\in\mathbb{N}=\{0, 1, 2\ldots\}$, the truncated hypergeometric series ${}_{m+1}F_m$ is defined by $$ {}_{m+1}F_m\bigg[\begin{matrix}x_0&x_1&\ldots&x_m\\ &y_1&\ldots&y_m\end{matrix}\bigg|z\bigg]_n=\sum_{k=0}^n\frac{(x_0)_k(x_1)_k\cdots(x_m)_k}{(y_1)_k\cdots(y_m)_k}\cdot\frac{z^k}{k!
Number Theory Combinatorics 11A07, 33C20, 11B65, 05A10
no code implementations • 28 Feb 2021 • Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu
Key to such capability is hand-eye coordination, a cognitive ability that enables humans to adaptively direct their movements at task-relevant objects and be invariant to the objects' absolute spatial location.
no code implementations • 22 Feb 2021 • Yinghui Li, Chen Wang, Yangning Li, Hai-Tao Zheng, Ying Shen
Learning an empirically effective model with generalization using limited data is a challenging task for deep neural networks.
no code implementations • 7 Feb 2021 • Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Jun Feng
Convolutional Neural Networks(CNNs) has achieved remarkable performance breakthrough in a variety of tasks.
no code implementations • 4 Feb 2021 • Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng
Convolutional Neural Networks(CNNs) has achieved remarkable performance breakthrough in Euclidean structure data.
no code implementations • 28 Jan 2021 • Chen Wang, Shaoxiong Wang, Branden Romero, Filipe Veiga, Edward Adelson
We present SwingBot, a robot that is able to learn the physical features of a held object through tactile exploration.
no code implementations • 24 Jan 2021 • Wei Liao, Taotao Liang, Pengwen Xiong, Chen Wang, Aiguo Song, Peter X. Liu
The reachable tube is described as a sublevel set of a value function, which is the viscosity solution of a Hamilton-Jacobi equation with running cost.
no code implementations • 14 Jan 2021 • David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen
We applied and compared eight GNN models including AGNN, ChebNet, GAT, GCN, GIN, GraphSAGE, SGC, and TAGCN on the Mayo Clinic cancer disease dataset and assessedtheir performance as well as compared them with each other and with more conventional machinelearning models such as decision tree, gradient boosting, multi-layer perceptron, naive bayes, andrandom forest which we used as the baselines.
no code implementations • 7 Jan 2021 • Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-Young Paik, Xiwei Xu, Chen Wang
Therefore, in this paper, we present a collection of architectural patterns to deal with the design challenges of federated learning systems.
no code implementations • 1 Jan 2021 • Yueheng Li, Tianhao Zhang, Chen Wang, Jinan Sun, Shikun Zhang, Guangming Xie
We explore energy-based solutions for cooperative multi-agent reinforcement learning (MARL) using the idea of function factorization in centralized training with decentralized execution (CTDE).
Multi-agent Reinforcement Learning reinforcement-learning +3
no code implementations • 1 Jan 2021 • Chen Wang, Yuheng Qiu, Sebastian Scherer
In this paper, we aim to bridge GNN to lifelong learning, which is to overcome the effect of ``catastrophic forgetting" for continuously learning a sequence of graph-structured tasks.
no code implementations • 27 Dec 2020 • Gaoyang Liu, Xiaoqiang Ma, Yang Yang, Chen Wang, Jiangchuan Liu
In this paper, we take the first step to fill this gap by presenting FedEraser, the first federated unlearning methodology that can eliminate the influence of a federated client's data on the global FL model while significantly reducing the time used for constructing the unlearned FL model. The basic idea of FedEraser is to trade the central server's storage for unlearned model's construction time, where FedEraser reconstructs the unlearned model by leveraging the historical parameter updates of federated clients that have been retained at the central server during the training process of FL.
no code implementations • 17 Dec 2020 • Qing-Zeng Yan, Ji Yang, Yan Sun, Yang Su, Ye Xu, Hongchi Wang, Xin Zhou, Chen Wang
We present distances to 76 medium-sized molecular clouds and an extra large-scale one in the second Galactic quadrant ($104. 75^\circ <l<150. 25^\circ $ and $|b|<5. 25^\circ$), 73 of which are accurately measured for the first time.
Astrophysics of Galaxies
no code implementations • 15 Dec 2020 • Panpan Li, Yikun Gong, Chen Wang
The schemas obtained by the structural methods are more interpretable, and the statistical methods have better applicability and generalization ability.
no code implementations • 8 Dec 2020 • Jia-Yu Chen, Chen Wang
For any $n\in\mathbb{N}=\{0, 1, 2,\ldots\}$ and $b, c\in\mathbb{Z}$, the generalized central trinomial coefficient $T_n(b, c)$ denotes the coefficient of $x^n$ in the expansion of $(x^2+bx+c)^n$.
Number Theory Combinatorics 11A07, 11B75, 11B65, 05A10
no code implementations • 30 Nov 2020 • Tao Yu, Chen Wang, Michael A. Sentef, Gerrit E. W. Bauer
The Doppler shift of the quasiparticle dispersion by charge currents is responsible for the critical supercurrents in superconductors and instabilities of the magnetic ground state of metallic ferromagnets.
Mesoscale and Nanoscale Physics
no code implementations • ECCV 2018 • Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih
Here, we observe that the use of a single registration often leads to errors, especially in scenes with significant depth variation or object motion.
no code implementations • ECCV 2018 • Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih
Image stitching is typically decomposed into three phases: registration, which aligns the source images with a common target image; seam finding, which determines for each target pixel the source image it should come from; and blending, which smooths transitions over the seams.
no code implementations • 23 Nov 2020 • Chenguang Fang, Chen Wang
Time series methods based on deep learning have made progress with the usage of models like RNN, since it captures time information from data.
no code implementations • 19 Nov 2020 • Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock
To address this problem, we introduce a lightweight but effective Global Matching Component (GMC) to grab global matching features.
no code implementations • 21 Oct 2020 • Chen Wang, Chengyuan Deng
Applying Global Self-attention (GSA) mechanism over features has achieved remarkable success on Convolutional Neural Networks (CNNs).
no code implementations • 18 Oct 2020 • Jianchao Lu, Xi Zheng, Tianyi Zhang, Michael Sheng, Chen Wang, Jiong Jin, Shui Yu, Wanlei Zhou
In this paper, we propose a novel driver fatigue detection method by embedding surface electromyography (sEMG) sensors on a steering wheel.
2 code implementations • 13 Oct 2020 • Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
The principal component analysis network (PCANet) is an unsupervised parsimonious deep network, utilizing principal components as filters in its convolution layers.
2 code implementations • CVPR 2022 • Chen Wang, Yuheng Qiu, Dasong Gao, Sebastian Scherer
In this paper, we bridge GNN and lifelong learning by converting a continual graph learning problem to a regular graph learning problem so GNN can inherit the lifelong learning techniques developed for convolutional neural networks (CNN).
1 code implementation • 3 Aug 2020 • Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shi-Zhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao
This report summarizes the results of the first edition of the challenge together with the findings of the participants.
1 code implementation • 29 Jul 2020 • Han Wang, Chen Wang, Lihua Xie
As an essential component of visual simultaneous localization and mapping (SLAM), place recognition is crucial for robot navigation and autonomous driving.
no code implementations • 22 Jul 2020 • Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu
Federated learning is an emerging machine learning paradigm where clients train models locally and formulate a global model based on the local model updates.
no code implementations • 2 Jul 2020 • Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang
Therefore, the proposed model can provide a good foundation for assisting the clinical doctors to diagnose the glomerular membranous nephropathy.
no code implementations • 10 Jun 2020 • Michaël Karpe, Jin Fang, Zhongyao Ma, Chen Wang
Optimal order execution is widely studied by industry practitioners and academic researchers because it determines the profitability of investment decisions and high-level trading strategies, particularly those involving large volumes of orders.
3 code implementations • ECCV 2020 • Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer
In this paper, we explore the problem of interesting scene prediction for mobile robots.
23 code implementations • NeurIPS 2020 • Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
Contrastive learning applied to self-supervised representation learning has seen a resurgence in recent years, leading to state of the art performance in the unsupervised training of deep image models.
Ranked #2 on Class Incremental Learning on cifar100
no code implementations • Elsevier Applied Energy 2020 • Peng Kou, Deliang Liang, Chen Wang, Zihao Wu, Lin Gaoa
In this scheme, the optimal voltage control problem is formulated as a constrained Markov decision process, in which both state and action spaces are continuous.
no code implementations • 9 Apr 2020 • Sepehr Assadi, Chen Wang
In particular, algorithms with optimal sample complexity (number of coin tosses) have been known for this problem for quite some time.
1 code implementation • 31 Mar 2020 • Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian Scherer
We present a challenging dataset, the TartanAir, for robot navigation task and more.
Robotics
1 code implementation • 12 Mar 2020 • Han Wang, Chen Wang, Lihua Xie
Loop closure detection is an essential and challenging problem in simultaneous localization and mapping (SLAM).
1 code implementation • IEEE Transactions on Cybernetics 2020 • Xu Fang, Chen Wang, Lihua Xie, Jie Chen
When the faster evader is allowed to move freely without any constraint, the main issues are how to form an encirclement to trap the evader into the capture domain, how to balance between forming an encirclement and approaching the faster evader, and what conditions make the capture possible.
Systems and Control Systems and Control
no code implementations • 7 Dec 2019 • Miao Du, Qin Yu, Shaomin Fei, Chen Wang, Xiao-Feng Gong, Ruisen Luo
Nowadays, we mainly use various convolution neural network (CNN) structures to extract features from radio data or spectrogram in AMR.
1 code implementation • 6 Dec 2019 • Chen Wang
To this end, the novel kernel learning methods for several basic visual perceptual tasks, including object tracking, localization, mapping, and image recognition, are proposed and demonstrated both theoretically and practically.
no code implementations • 30 Nov 2019 • Junfeng Ding, Chen Wang, Cewu Lu
We present a learning-based force-torque dynamics to achieve model-based control for contact-rich peg-in-hole task using force-only inputs.
no code implementations • 27 Nov 2019 • Chen Wang, Chengyuan Deng, Vladimir Ivanov
Variational Autoencoders (VAEs) are powerful in data representation inference, but it cannot learn relations between features with its vanilla form and common variations.
no code implementations • 25 Oct 2019 • Yangxin Lin, Ping Wang, Yang Zhou, Fan Ding, Chen Wang, Huachun Tan
However, the traffic micro-simulation accuracy of car following models in a platoon level, especially during traffic oscillations, still needs to be enhanced.
2 code implementations • 23 Oct 2019 • Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu
We present 6-PACK, a deep learning approach to category-level 6D object pose tracking on RGB-D data.
Ranked #1 on 6D Pose Estimation using RGBD on REAL275 (Rerr metric)
4 code implementations • 30 Sep 2019 • Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, Vyas Sekar
By shedding light on the promise and challenges, we hope our work can rekindle the conversation on workflows for data sharing.
no code implementations • 27 Sep 2019 • Ruisen Luo, Tao Hu, Zuodong Tang, Chen Wang, Xiaofeng Gong, Haiyan Tu
To solve the problem of inaccurate recognition of types of communication signal modulation, a RNN neural network recognition algorithm combining residual block network with attention mechanism is proposed.
1 code implementation • 23 Sep 2019 • Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Chen Wang, Yan-Jie Zhou, Rui-Qi Li, Zhen Li
To the best of our knowledge, this is the first cataract surgical instrument dataset for semantic segmentation.
no code implementations • 14 Sep 2019 • K. R. Jayaram, Vinod Muthusamy, Parijat Dube, Vatche Ishakian, Chen Wang, Benjamin Herta, Scott Boag, Diana Arroyo, Asser Tantawi, Archit Verma, Falk Pollok, Rania Khalaf
This paper describes the design, implementation and our experiences with FfDL, a DL platform used at IBM.
no code implementations • 9 Aug 2019 • Chen Wang, Chengyuan Deng, Zhoulu Yu, Dafeng Hui, Xiaofeng Gong, Ruisen Luo
In addition, the proposed method has other preferred properties such as special advantages in dealing with highly imbalanced data, and it pioneers the research on the regularization for dynamic ensemble methods.
1 code implementation • 5 Aug 2019 • Chen Wang, Chengyuan Deng, Suzhen Wang
The paper presents Imbalance-XGBoost, a Python package that combines the powerful XGBoost software with weighted and focal losses to tackle binary label-imbalanced classification tasks.
1 code implementation • 12 Jul 2019 • S Abhishek Anand, Chen Wang, Jian Liu, Nitesh Saxena, Yingying Chen
In this paper, we build a speech privacy attack that exploits speech reverberations generated from a smartphone's inbuilt loudspeaker captured via a zero-permission motion sensor (accelerometer).
Cryptography and Security
no code implementations • 10 Jul 2019 • Ruisen Luo, Tianran Sun, Chen Wang, Miao Du, Zuodong Tang, Kai Zhou, Xiao-Feng Gong, Xiaomei Yang
The key idea is that, in addition to the conventional attention mechanism, information of layers prior to feature extraction and LSTM are introduced into attention weights calculations.
Ranked #4 on Keyword Spotting on Google Speech Commands (Google Speech Commands V2 20 metric)
no code implementations • 19 Jun 2019 • Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
The objective of this problem is to find a solution with optimized or near-optimized overall QoS and QoSM within polynomial time over a service request.
6 code implementations • CVPR 2019 • Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan
Convolutional neural networks (CNNs) have enabled the state-of-the-art performance in many computer vision tasks.
2 code implementations • 5 Mar 2019 • Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu
Based on this observation, we propose a defense approach which inspects the graph and recovers the potential adversarial perturbations.
no code implementations • 18 Feb 2019 • Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
We also found that the use of the proper neighborhood structure can enhance the effectiveness of our approach.
1 code implementation • 14 Feb 2019 • Binhang Yuan, Chen Wang, Chen Luo, Fei Jiang, Mingsheng Long, Philip S. Yu, Yu-An Liu
Quick detection of blade ice accretion is crucial for the maintenance of wind farms.
8 code implementations • CVPR 2019 • Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese
A key technical challenge in performing 6D object pose estimation from RGB-D image is to fully leverage the two complementary data sources.
Ranked #4 on 6D Pose Estimation on LineMOD
no code implementations • 29 Dec 2018 • Xuechen Li, Yinlong Liu, Yiru Wang, Chen Wang, Manning Wang, Zhijian Song
However, the existing global methods are slow for two main reasons: the computational complexity of BnB is exponential to the problem dimensionality (which is six for 3D rigid registration), and the bound evaluation used in BnB is inefficient.
1 code implementation • 18 Nov 2018 • Xu Fang, Chen Wang, Thien-Minh Nguyen, Lihua Xie
In addition, different from the traditional filter-based localization methods which need kinetic model for localization, our proposed method is model-free and converts the localization problem to graph optimization problem.
no code implementations • ECCV 2018 • Yinlong Liu, Chen Wang, Zhijian Song, Manning Wang
Three-dimensional rigid point cloud registration has many applications in computer vision and robotics.
no code implementations • 1 Mar 2018 • Chen Wang, Xiaomei Yang, Shaomin Fei, Kai Zhou, Xiao-Feng Gong, Miao Du, Ruisen Luo
Furthermore, to compute quantization results with a given amount of values/clusters, this paper designed an iterative method and a clustering-based method, and both of them are built on sparse least square.
1 code implementation • 28 Feb 2018 • Xu Fang, Chen Wang, Thien-Minh Nguyen, Lihua Xie
In this paper, we propose a general graph optimization based framework for localization, which can accommodate different types of measurements with varying measurement time intervals.
Robotics
2 code implementations • 20 Feb 2018 • Chen Wang, Tete Ji, Thien-Minh Nguyen, Lihua Xie
Robust velocity and position estimation is crucial for autonomous robot navigation.
no code implementations • 9 Jan 2018 • Chen Wang, Suzhen Wang, Fuyan Shi, Zaixiang Wang
The experimental results illustrate that xgboost propensity scores computing with the data processed by our method could outperform the same method with original data, and the advantages of our method increases as we add some artificial corruptions to the dataset.
no code implementations • ICLR 2018 • Chen Wang, Xiangyu Chen, Zelin Ye, Jialu Wang, Ziruo Cai, Shixiang Gu, Cewu Lu
However, tasks with sparse rewards remain challenging when the state space is large.
no code implementations • 27 Oct 2017 • Rong Kang, Chen Wang, Peng Wang, Yuting Ding, Jian-Min Wang
Hence, we formulate a new problem, called "fine-grained pattern matching", which allows users to specify varied granularities of matching deviation to different segments of a given pattern, and fuzzy regions for adaptive breakpoints determination between consecutive segments.
2 code implementations • 16 Oct 2017 • Chen Wang, Minh-Chung Hoang, Lihua Xie, Junsong Yuan
We present a novel visual SLAM method for the warehouse robot with a single downward-facing camera using ground textures.
Robotics
1 code implementation • 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 • Chen Wang, Handuo Zhang, Thien-Minh Nguyen, Lihua Xie
This paper proposes an ultra-wideband (UWB) aided localization and mapping system that leverages on inertial sensor and depth camera.
Robotics
no code implementations • 12 Sep 2017 • Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu
In this paper, we propose a method to disclose a small set of training data that is just sufficient for users to get the insight of a complicated model.
3 code implementations • 12 Sep 2017 • Chen Wang, Le Zhang, Lihua Xie, Junsong Yuan
Cross-correlator plays a significant role in many visual perception tasks, such as object detection and tracking.
no code implementations • ICCV 2017 • Chen Wang, Charles Herrmann, Ramin Zabih
While Markov Random Fields (MRFs) are widely used in computer vision, they present a quite challenging inference problem.
no code implementations • CVPR 2016 • Chen Wang, Ramin Zabih
Markov Random Fields (MRFs) are a widely used graphical model, but the inference problem is NP-hard.
no code implementations • 19 Apr 2016 • Binqi Zhang, Chen Wang, Bing Bing Zhou, Albert Y. Zomaya
To improve the temporal and spatial storage efficiency, researchers have intensively studied various techniques, including compression and deduplication.
no code implementations • CVPR 2015 • Yu Zhang, Xiaowu Chen, Jia Li, Chen Wang, Changqun Xia
Semantic object segmentation in video is an important step for large-scale multimedia analysis.
no code implementations • CVPR 2014 • Alexander Fix, Chen Wang, Ramin Zabih
Graph cuts method such as a-expansion [4] and fusion moves [22] have been successful at solving many optimization problems in computer vision.