Chen, Tao

81 publications

AAAI 2025 All-in-One: Transferring Vision Foundation Models into Stereo Matching Jingyi Zhou, Haoyu Zhang, Jiakang Yuan, Peng Ye, Tao Chen, Hao Jiang, Meiya Chen, Yangyang Zhang

IJCAI 2025 Boost Embodied AI Models with Robust Compression Boundary Chong Yu, Tao Chen, Zhongxue Gan

NeurIPS 2025 Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression Xiaohui Wang, Peng Ye, Chenyu Huang, Shenghe Zheng, Bo Zhang, Lei Bai, Wanli Ouyang, Tao Chen

ICCV 2025 Chimera: Improving Generalist Model with Domain-Specific Experts Tianshuo Peng, Mingsheng Li, Jiakang Yuan, Hongbin Zhou, Renqiu Xia, Renrui Zhang, Lei Bai, Song Mao, Bin Wang, Aojun Zhou, Botian Shi, Tao Chen, Bo Zhang, Xiangyu Yue

CVPR 2025 Consistency-Aware Self-Training for Iterative-Based Stereo Matching Jingyi Zhou, Peng Ye, Haoyu Zhang, Jiakang Yuan, Rao Qiang, Liu YangChenXu, Wu Cailin, Feng Xu, Tao Chen

CVPR 2025 DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models Yongqi Huang, Peng Ye, Chenyu Huang, Jianjian Cao, Lin Zhang, Baopu Li, Gang Yu, Tao Chen

NeurIPS 2025 FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding Chongjun Tu, Lin Zhang, Pengtao Chen, Peng Ye, Xianfang Zeng, Wei Cheng, Gang Yu, Tao Chen

ICLR 2025 GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-Training Renqiu Xia, Mingsheng Li, Hancheng Ye, Wenjie Wu, Hongbin Zhou, Jiakang Yuan, Tianshuo Peng, Xinyu Cai, Xiangchao Yan, Bin Wang, Conghui He, Botian Shi, Tao Chen, Junchi Yan, Bo Zhang

ICLR 2025 HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction Shengji Tang, Weicai Ye, Peng Ye, Weihao Lin, Yang Zhou, Tao Chen, Wanli Ouyang

ICML 2025 ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Yilin Wang, Peixuan Lei, Jie Song, Yuzhe Hao, Tao Chen, Yuxuan Zhang, Lei Jia, Yuanxiang Li, Zhongyu Wei

CVPR 2025 Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants Chong Yu, Tao Chen, Zhongxue Gan

NeurIPS 2025 PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, Zhiyuan Liu, WenkangWang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang

NeurIPS 2025 PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding Kangcong Li, Peng Ye, Chongjun Tu, Lin Zhang, Chunfeng Song, Jiamin Wu, Tao Yang, Qihao Zheng, Tao Chen

CVPR 2025 Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning Maosen Zhao, Pengtao Chen, Chong Yu, Yan Wen, Xudong Tan, Tao Chen

ICCV 2025 SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning Lin Zhang, Xianfang Zeng, Kangcong Li, Gang Yu, Tao Chen

CVPR 2025 Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection Gensheng Pei, Tao Chen, Yujia Wang, Xinhao Cai, Xiangbo Shu, Tianfei Zhou, Yazhou Yao

NeurIPS 2024 $\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions Lingxiao Li, Kaixiong Gong, Weihong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue

NeurIPS 2024 3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection Mingsheng Li, Jiakang Yuan, Sijin Chen, Lin Zhang, Anyu Zhu, Xin Chen, Tao Chen

AAAI 2024 Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao

ECCV 2024 Better Regression Makes Better Test-Time Adaptive 3D Object Detection Jiakang Yuan, Bo Zhang, Kaixiong Gong, Xiangyu Yue, Botian Shi, Yu Qiao, Tao Chen

AAAI 2024 Boosting Residual Networks with Group Knowledge Shengji Tang, Peng Ye, Baopu Li, Weihao Lin, Tao Chen, Tong He, Chong Yu, Wanli Ouyang

ECCV 2024 DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism Zhen Wang, Xinyun Jiang, Jun Xiao, Tao Chen, Long Chen

NeurIPS 2024 EMR-Merging: Tuning-Free High-Performance Model Merging Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue, Wanli Ouyang

ECCV 2024 Enhanced Sparsification via Stimulative Training Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen

IJCAI 2024 FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on Chenhui Wang, Tao Chen, Zhihao Chen, Zhizhong Huang, Taoran Jiang, Qi Wang, Hongming Shan

NeurIPS 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen, Peng Ye, Hao Chen, Kang Chen, Tao Han, Wanli Ouyang, Tao Chen, Lei Bai

ECCV 2024 Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao

ECCV 2024 Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation Tao Chen, Xiruo Jiang, Gensheng Pei, Zeren Sun, Yucheng Wang, Yazhou Yao

CVPR 2024 LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and Planning Sijin Chen, Xin Chen, Chi Zhang, Mingsheng Li, Gang Yu, Hao Fei, Hongyuan Zhu, Jiayuan Fan, Tao Chen

NeurIPS 2024 Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki

ECCV 2024 M3DBench: Towards Omni 3D Assistant with Interleaved Multi-Modal Instructions Mingsheng Li, Xin Chen, Chi Zhang, Sijin Chen, Hongyuan Zhu, Fukun Yin, Zhuoyuan Li, Gang Yu, Tao Chen

CVPR 2024 MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen

NeurIPSW 2024 MD-DiT: Step-Aware Mixture-of-Depths for Efficient Diffusion Transformers Mingzhu Shen, Pengtao Chen, Peng Ye, Guoxuan Xia, Tao Chen, Christos-Savvas Bouganis, Yiren Zhao

NeurIPS 2024 MeshXL: Neural Coordinate Field for Generative 3D Foundation Models Sijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Wei Cheng, Yijun Fu, Fukun Yin, Zhibin Wang, Jingyi Yu, Gang Yu, Bin Fu, Tao Chen

CVPR 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang

AAAI 2024 PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation Yiying Yang, Fukun Yin, Wen Liu, Jiayuan Fan, Xin Chen, Gang Yu, Tao Chen

ICLR 2024 ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao

NeurIPS 2024 S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning Weihao Lin, Shengji Tang, Chong Yu, Peng Ye, Tao Chen

IJCAI 2024 Spear: Evaluate the Adversarial Robustness of Compressed Neural Models Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan

NeurIPS 2024 Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang

CVPR 2024 VideoMAC: Video Masked Autoencoders Meet ConvNets Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao

ICCV 2023 A Large-Scale Outdoor Multi-Modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction Chongshan Lu, Fukun Yin, Xin Chen, Wen Liu, Tao Chen, Gang Yu, Jiayuan Fan

NeurIPS 2023 AD-PT: Autonomous Driving Pre-Training with Large-Scale Point Cloud Dataset Jiakang Yuan, Bo Zhang, Xiangchao Yan, Botian Shi, Tao Chen, Yikang Li, Yu Qiao

IJCAI 2023 Adversarial Amendment Is the Only Force Capable of Transforming an Enemy into a Friend Chong Yu, Tao Chen, Zhongxue Gan

CVPR 2023 Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao

CVPR 2023 Boost Vision Transformer with GPU-Friendly Sparsity and Quantization Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan

NeurIPS 2023 Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback Marcel Torne Villasevil, Max Balsells I Pamies, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta

ICLR 2023 DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

CVPR 2023 End-to-End 3D Dense Captioning with Vote2Cap-DETR Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Gang Yu, Tao Chen

CVPR 2023 Executing Your Commands via Motion Diffusion in Latent Space Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Gang Yu

NeurIPS 2023 Michelangelo: Conditional 3D Shape Generation Based on Shape-Image-Text Aligned Latent Representation Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao

NeurIPS 2023 MotionGPT: Human Motion as a Foreign Language Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen

NeurIPS 2023 PDF: Point Diffusion Implicit Function for Large-Scale Scene Neural Representation Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang Yu, Tao Chen

ICML 2023 Parallel $q$-Learning: Scaling Off-Policy Reinforcement Learning Under Massively Parallel Simulation Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal

ICCV 2023 Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen

CVPR 2023 Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang Li, Yu Qiao

ICMLW 2023 Visual Dexterity: In-Hand Dexterous Manipulation from Depth Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal

CVPR 2022 B-DARTS: Beta-Decay Regularization for Differentiable Architecture Search Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang

ECCV 2022 Colorization for in Situ Marine Plankton Images Guannan Guo, Qi Lin, Tao Chen, Zhenghui Feng, Zheng Wang, Jianping Li

NeurIPS 2022 Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D Representations Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu

CoRL 2022 Efficient Tactile Simulation with Differentiability for Robotic Manipulation Jie Xu, Sangwoon Kim, Tao Chen, Alberto Rodriguez Garcia, Pulkit Agrawal, Wojciech Matusik, Shinjiro Sueda

AAAI 2022 Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning Huanqin Wu, Baijiaxin Ma, Wei Liu, Tao Chen, Dan Nie

NeurIPS 2022 Pre-Trained Language Models for Interactive Decision-Making Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu

NeurIPS 2022 Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing Peng Ye, Shengji Tang, Baopu Li, Tao Chen, Wanli Ouyang

CVPR 2022 TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen

ICLR 2022 Topological Experience Replay Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal

ECCV 2022 Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao

WACV 2022 What Makes for Effective Few-Shot Point Cloud Classification? Chuangguan Ye, Hongyuan Zhu, Yongbin Liao, Yanggang Zhang, Tao Chen, Jiayuan Fan

CoRL 2021 A System for General In-Hand Object Re-Orientation Tao Chen, Jie Xu, Pulkit Agrawal

WACV 2021 Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance Jingjing Chen, Jichao Zhang, Enver Sangineto, Tao Chen, Jiayuan Fan, Nicu Sebe

ICCV 2021 Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional Learning Lin Zhao, Shao-Ping Lu, Tao Chen, Zhenglu Yang, Ariel Shamir

AAAI 2021 Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang

CoRL 2021 Learning to Jump from Pixels Gabriel B Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sang bae Kim, Pulkit Agrawal

CVPR 2021 Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation Yazhou Yao, Tao Chen, Guo-Sen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang

ICCVW 2021 Super-Resolution for in Situ Plankton Images Wenqi Ma, Tao Chen, Zhengwen Zhang, Zhenyu Yang, Chao Dong, Jianping Qiao, Jianping Li

ICLR 2019 Learning Exploration Policies for Navigation Tao Chen, Saurabh Gupta, Abhinav Gupta

NeurIPS 2018 Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen, Adithyavairavan Murali, Abhinav Gupta

AAAI 2015 VELDA: Relating an Image Tweet's Text and Images Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan, Dongyuan Lu

ICML 2010 Variable Selection in Model-Based Clustering: To Do or to Facilitate Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang

AAAI 2008 Latent Tree Models and Approximate Inference in Bayesian Networks Yi Wang, Nevin Lianwen Zhang, Tao Chen

JAIR 2008 Latent Tree Models and Approximate Inference in Bayesian Networks Yi Wang, Nevin Lianwen Zhang, Tao Chen