Tong He - RankMe

75 papers A* 27A 2Misc 1Journal 41Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach. ICLR Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou
2025	A	`conf`	Common Learning Constraints Alter Interpretations of Direct Preference Optimization. AISTATS Lemin Kong, Xiangkun Hu, Tong He, David Wipf
2025	A*	`conf`	Explicit Preference Optimization: No Need for an Implicit Reward Model. ICML Xiangkun Hu, Lemin Kong, Tong He, David Wipf
2025	J	`jnl`	Explicit Preference Optimization: No Need for an Implicit Reward Model. CoRR Xiangkun Hu, Lemin Kong, Tong He, David Wipf
2025	A*	`conf`	Sparse Autoencoders, Again? ICML Yin Lu, Xuening Zhu, Tong He, David Wipf
2025	J	`jnl`	Sparse Autoencoders, Again? CoRR Yin Lu, Xuening Zhu, Tong He, David Wipf
2025	A*	`conf`	VideoSAM: Open-World Video Segmentation. ICRA Pinxue Guo, Zixu Zhao, Jianxiong Gao, Chongruo Wu, Tong He, Zheng Zhang, Tianjun Xiao, Wenqiang Zhang
2024	A*	`conf`	Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CVPR Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang
2024	J	`jnl`	Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CoRR Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang
2024	J	`jnl`	BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. CoRR Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
2024	A*	`conf`	Consistent Video-to-Video Transfer Using Synthetic Dataset. ICLR Jiaxin Cheng, Tianjun Xiao, Tong He
2024	J	`jnl`	Factorized Visual Tokenization and Generation. CoRR Zechen Bai, Jianxiong Gao, Ziteng Gao, Pichao Wang, Zheng Zhang, Tong He, Mike Zheng Shou
2024	J	`jnl`	GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval. CoRR Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou
2024	A	`conf`	Graph Machine Learning through the Lens of Bilevel Optimization. AISTATS Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
2024	J	`jnl`	Hallucination of Multimodal Large Language Models: A Survey. CoRR Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou
2024	J	`jnl`	Improving Semantic Segmentation via Efficient Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola
2024	A*	`conf`	Learning for Transductive Threshold Calibration in Open-World Recognition. CVPR Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing
2024	J	`jnl`	New Desiderata for Direct Preference Optimization. CoRR Xiangkun Hu, Tong He, David Wipf
2024	A*	`conf`	One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos. NeurIPS Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou
2024	J	`jnl`	One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos. CoRR Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou
2024	A*	`conf`	RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. NeurIPS Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang
2024	J	`jnl`	RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang
2024	A*	`conf`	Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation. NeurIPS Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Zheng Zhang, Yicong Zhou
2024	J	`jnl`	Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation. CoRR Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Yicong Zhou, Zheng Zhang
2024	A*	`conf`	Unified Lexical Representation for Interpretable Visual-Language Alignment. NeurIPS Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He
2024	J	`jnl`	Unified Lexical Representation for Interpretable Visual-Language Alignment. CoRR Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He
2024	J	`jnl`	VideoSAM: Open-World Video Segmentation. CoRR Pinxue Guo, Zixu Zhao, Jianxiong Gao, Chongruo Wu, Tong He, Zheng Zhang, Tianjun Xiao, Wenqiang Zhang
2023	A*	`conf`	Bridging the Gap to Real-World Object-Centric Learning. ICLR Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2023	A*	`conf`	Coarse-to-Fine Amodal Segmentation with Shape Prior. ICCV Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023	J	`jnl`	Coarse-to-Fine Amodal Segmentation with Shape Prior. CoRR Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023	J	`jnl`	Consistent Video-to-Video Transfer Using Synthetic Dataset. CoRR Jiaxin Cheng, Tianjun Xiao, Tong He
2023	J	`jnl`	LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation. CoRR Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li
2023	J	`jnl`	Learning Manifold Dimensions with Conditional Variational Autoencoders. CoRR Yijia Zheng, Tong He, Yixuan Qiu, David Wipf
2023	J	`jnl`	Learning for Open-World Calibration with Graph Neural Networks. CoRR Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing
2023	A*	`conf`	Object-Centric Multiple Object Tracking. ICCV Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023	J	`jnl`	Object-Centric Multiple Object Tracking. CoRR Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023	A*	`conf`	Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation. ICCV Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023	J	`jnl`	Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation. CoRR Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
2023	A*	`conf`	Unsupervised Open-Vocabulary Object Localization in Videos. ICCV Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He
2023	J	`jnl`	Unsupervised Open-Vocabulary Object Localization in Videos. CoRR Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He
2022	J	`jnl`	Bridging the Gap to Real-World Object-Centric Learning. CoRR Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
2022	A*	`conf`	Learning Manifold Dimensions with Conditional Variational Autoencoders. NeurIPS Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf
2022	—	`conf`	PSS: Progressive Sample Selection for Open-World Visual Representation Learning. ECCV (31) Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe
2022	—	`conf`	ResNeSt: Split-Attention Networks. CVPR Workshops Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola
2022	A*	`conf`	Self-supervised Amodal Video Object Segmentation. NeurIPS Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David P. Wipf, Yanwei Fu, Zheng Zhang
2022	J	`jnl`	Self-supervised Amodal Video Object Segmentation. CoRR Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David Wipf, Yanwei Fu, Zheng Zhang
2021	A*	`conf`	ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. ICCV Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung
2021	J	`jnl`	ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. CoRR Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung
2021	—	`—`	Deep 3D Embodied Visual Recognition. Tong He
2021	A*	`conf`	GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. NeurIPS Longyuan Li, Jian Yao, Li K. Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang
2021	A*	`conf`	Learning Hierarchical Graph Neural Networks for Image Clustering. ICCV Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto
2021	J	`jnl`	Learning Hierarchical Graph Neural Networks for Image Clustering. CoRR Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto
2021	A*	`conf`	Progressive Coordinate Transforms for Monocular 3D Object Detection. NeurIPS Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue
2021	J	`jnl`	Progressive Coordinate Transforms for Monocular 3D Object Detection. CoRR Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue
2021	J	`jnl`	Skeleton-Based Action Recognition With Focusing-Diffusion Graph Convolutional Networks. IEEE Signal Process. Lett. Jialin Gao, Tong He, Xi Zhou, Shiming Ge
2020	—	`conf`	DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings. ACCV (1) Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
2020	A*	`conf`	Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. NeurIPS Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
2020	J	`jnl`	Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. CoRR Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto
2020	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu
2020	J	`jnl`	Improving Semantic Segmentation via Self-Training. CoRR Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola
2020	J	`jnl`	ResNeSt: Split-Attention Networks. CoRR Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola
2020	Misc	`conf`	SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. CoRL Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2019	J	`jnl`	Bag of Freebies for Training Object Detection Neural Networks. CoRR Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
2019	A*	`conf`	Bag of Tricks for Image Classification with Convolutional Neural Networks. CVPR Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
2019	J	`jnl`	Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources. CoRR Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li
2019	J	`jnl`	Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR Jialin Gao, Tong He, Xi Zhou, Shiming Ge
2019	A*	`conf`	GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images. CVPR Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai
2019	J	`jnl`	GIF2Video: Color Dequantization and Temporal Interpolation of GIF images. CoRR Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai
2019	A*	`conf`	GeoNet: Deep Geodesic Networks for Point Cloud Analysis. CVPR Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
2019	J	`jnl`	GeoNet: Deep Geodesic Networks for Point Cloud Analysis. CoRR Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
2019	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng
2019	J	`jnl`	LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. CoRR Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2019	A*	`conf`	Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. AAAI Tong He, Stefano Soatto
2019	J	`jnl`	Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. CoRR Tong He, Stefano Soatto
2018	J	`jnl`	Bag of Tricks for Image Classification with Convolutional Neural Networks. CoRR Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li