Yi Yang

60 papers A* 21A 1Journal 33Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Image to Video: An Empirical Study of Diffusion Representations.
CoRR
Pedro Vélez, Luisa F. Polanía, Yi Yang, Chuhan Zhang, Rishabh Kabra, Anurag Arnab, Mehdi S. M. Sajjadi
2025 J jnl
Recurrent Video Masked Autoencoders.
CoRR
Daniel Zoran, Nikhil Parthasarathy, Yi Yang, Drew A. Hudson, João Carreira, Andrew Zisserman
2025 J jnl
TAPNext: Tracking Any Point (TAP) as Next Token Prediction.
CoRR
Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin
2024 — conf
BootsTAP: Bootstrapped Training for Tracking-Any-Point.
ACCV (2)
Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman
2024 J jnl
BootsTAP: Bootstrapped Training for Tracking-Any-Point.
CoRR
Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman
2024 A* conf
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks.
ICLR
Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerík, Jonathan Scholz, David Held
2024 J jnl
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks.
CoRR
Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerík, Jonathan Scholz, David Held
2024 A* conf
Learning from One Continuous Video Stream.
CVPR
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2024 A* conf
Moving Off-the-Grid: Scene-Grounded Video Representations.
NeurIPS
Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024 J jnl
Moving Off-the-Grid: Scene-Grounded Video Representations.
CoRR
Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024 A* conf
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.
ICRA
Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2024 J jnl
Scaling 4D Representations.
CoRR
João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
2024 A* conf
TAPVid-3D: A Benchmark for Tracking Any Point in 3D.
NeurIPS
Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch
2024 J jnl
TAPVid-3D: A Benchmark for Tracking Any Point in 3D.
CoRR
Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch
2023 J jnl
Learning from One Continuous Video Stream.
CoRR
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2023 A* conf
Perception Test: A Diagnostic Benchmark for Multimodal Video Models.
NeurIPS
Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
2023 J jnl
Perception Test: A Diagnostic Benchmark for Multimodal Video Models.
CoRR
Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
2023 J jnl
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.
CoRR
Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2023 A* conf
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement.
ICCV
Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
2023 J jnl
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement.
CoRR
Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
2023 J jnl
TacticAI: an AI assistant for football tactics.
CoRR
Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
2022 A* conf
TAP-Vid: A Benchmark for Tracking Any Point in a Video.
NeurIPS
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
2022 J jnl
TAP-Vid: A Benchmark for Tracking Any Point in a Video.
CoRR
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
2020 J jnl
Large-scale multilingual audio visual dubbing.
CoRR
Yi Yang, Brendan Shillingford, Yannis M. Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas
2019 — conf
A Refined 3D Pose Dataset for Fine-Grained Object Categories.
ICCV Workshops
Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis
2019 J jnl
Feedback Convolutional Neural Network for Visual Localization and Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Chunshui Cao, Yongzhen Huang, Yi Yang, Liang Wang, Zilei Wang, Tieniu Tan
2019 A* conf
Recognizing Part Attributes With Insufficient Data.
ICCV
Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu
2019 J jnl
Recognizing Part Attributes with Insufficient Data.
CoRR
Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu
2019 A* conf
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos.
CVPR
Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, Wei Xu
2018 — conf
3D Pose Estimation for Fine-Grained Object Categories.
ECCV Workshops (1)
Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis
2018 J jnl
3D Pose Estimation for Fine-Grained Object Categories.
CoRR
Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis
2018 J jnl
Depth-Based Hand Pose Estimation: Methods, Data, and Challenges.
Int. J. Comput. Vis.
James Steven Supancic III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan
2018 J jnl
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories.
CoRR
Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis
2018 J jnl
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos.
CoRR
Yang Wang, Zhenheng Yang, Peng Wang, Yi Yang, Chenxu Luo, Wei Xu
2018 A* conf
Occlusion Aware Unsupervised Learning of Optical Flow.
CVPR
Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, Wei Xu
2018 J jnl
Zero-Shot Transfer VQA Dataset.
CoRR
Yuanpeng Li, Yi Yang, Jianyu Wang, Wei Xu
2017 — conf
Dynamic Computational Time for Visual Attention.
ICCV Workshops
Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu
2017 J jnl
Dynamic Computational Time for Visual Attention.
CoRR
Zhichao Li, Yi Yang, Xiao Liu, Shilei Wen, Wei Xu
2017 J jnl
Occlusion Aware Unsupervised Learning of Optical Flow.
CoRR
Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Wei Xu
2017 J jnl
Unsupervised Learning Layers for Video Analysis.
CoRR
Liang Zhao, Yang Wang, Yi Yang, Wei Xu
2016 A* conf
Attention to Scale: Scale-Aware Semantic Image Segmentation.
CVPR
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
2016 A* conf
CNN-RNN: A Unified Framework for Multi-label Image Classification.
CVPR
Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu
2016 J jnl
CNN-RNN: A Unified Framework for Multi-label Image Classification.
CoRR
Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu
2016 A* conf
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks.
CVPR
Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu
2015 J jnl
Attention to Scale: Scale-aware Semantic Image Segmentation.
CoRR
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
2015 — conf
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN).
ICLR
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille
2015 A* conf
Depth-Based Hand Pose Estimation: Data, Methods, and Challenges.
ICCV
James Steven Supancic III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan
2015 J jnl
Depth-based hand pose estimation: methods, data, and challenges.
CoRR
James Steven Supancic III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan
2015 A* conf
Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images.
ICCV
Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille
2015 J jnl
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images.
CoRR
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille
2015 A* conf
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks.
ICCV
Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang
2015 J jnl
Video Paragraph Captioning using Hierarchical Recurrent Neural Networks.
CoRR
Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu
2014 A conf
AutoCaption: Automatic caption generation for personal photos.
WACV
Krishnan Ramnath, Simon Baker, Lucy Vanderwende, Motaz Ahmad El-Saban, Sudipta N. Sinha, Anitha Kannan, Noran Hassan, Michel Galley, Yi Yang, Deva Ramanan, Alessandro Bergamo, Lorenzo Torresani
2014 J jnl
Explain Images with Multimodal Recurrent Neural Networks.
CoRR
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille
2014 A* conf
Parsing Occluded People.
CVPR
Golnaz Ghiasi, Yi Yang, Deva Ramanan, Charless C. Fowlkes
2013 J jnl
Articulated Human Detection with Flexible Mixtures of Parts.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi Yang, Deva Ramanan
2012 J jnl
Layered Object Models for Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi Yang, Sam Hallman, Deva Ramanan, Charless C. Fowlkes
2012 A* conf
Recognizing proxemics in personal photos.
CVPR
Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
2011 A* conf
Articulated pose estimation with flexible mixtures-of-parts.
CVPR
Yi Yang, Deva Ramanan
2010 A* conf
Layered object detection for multi-class segmentation.
CVPR
Yi Yang, Sam Hallman, Deva Ramanan, Charless C. Fowlkes