Layered object detection for multi-class segmentation. - Yi Yang 007; Sam Hallman; Deva Ramanan; Charless C. Fowlkes (CVPR, 2010)

Articulated pose estimation with flexible mixtures-of-parts. - Yi Yang 007; Deva Ramanan (CVPR, 2011)

Recognizing proxemics in personal photos. - Yi Yang 007; Simon Baker; Anitha Kannan; Deva Ramanan (CVPR, 2012)

Layered Object Models for Image Segmentation. - Yi Yang 007; Sam Hallman; Deva Ramanan; Charless C. Fowlkes (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Articulated Human Detection with Flexible Mixtures of Parts. - Yi Yang 007; Deva Ramanan (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Parsing Occluded People. - Golnaz Ghiasi; Yi Yang 007; Deva Ramanan; Charless C. Fowlkes (CVPR, 2014)

AutoCaption: Automatic caption generation for personal photos. - Krishnan Ramnath; Simon Baker; Lucy Vanderwende; Motaz Ahmad El-Saban; Sudipta N. Sinha; Anitha Kannan; Noran Hassan; Michel Galley; Yi Yang 007; Deva Ramanan; Alessandro Bergamo; Lorenzo Torresani (WACV, 2014)

Explain Images with Multimodal Recurrent Neural Networks. - Junhua Mao; Wei Xu 017; Yi Yang 007; Jiang Wang 001; Alan L. Yuille (CoRR, 2014)

Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. - Chunshui Cao; Xianming Liu; Yi Yang 007; Yinan Yu; Jiang Wang 001; Zilei Wang; Yongzhen Huang; Liang Wang 001; Chang Huang; Wei Xu 017; Deva Ramanan; Thomas S. Huang (ICCV, 2015)

Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. - Junhua Mao; Xu Wei; Yi Yang 007; Jiang Wang 001; Zhiheng Huang; Alan L. Yuille (ICCV, 2015)

Depth-Based Hand Pose Estimation: Data, Methods, and Challenges. - James Steven Supancic III; Grégory Rogez; Yi Yang 007; Jamie Shotton; Deva Ramanan (ICCV, 2015)

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. - Junhua Mao; Wei Xu 017; Yi Yang 007; Jiang Wang 001; Zhiheng Huang; Alan L. Yuille (CoRR, 2015)

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN). - Junhua Mao; Wei Xu 017; Yi Yang 007; Jiang Wang 001; Alan L. Yuille (ICLR, 2015)

Attention to Scale: Scale-Aware Semantic Image Segmentation. - Liang-Chieh Chen; Yi Yang 007; Jiang Wang 001; Wei Xu 017; Alan L. Yuille (CVPR, 2016)

CNN-RNN: A Unified Framework for Multi-label Image Classification. - Jiang Wang 001; Yi Yang 007; Junhua Mao; Zhiheng Huang; Chang Huang; Wei Xu 017 (CVPR, 2016)

Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks. - Haonan Yu; Jiang Wang 001; Zhiheng Huang; Yi Yang 007; Wei Xu 017 (CVPR, 2016)

Dynamic Computational Time for Visual Attention. - Zhichao Li; Yi Yang 007; Xiao Liu 022; Feng Zhou 002; Shilei Wen; Wei Xu 017 (ICCV Workshops, 2017)

Dynamic Computational Time for Visual Attention. - Zhichao Li; Yi Yang 007; Xiao Liu 022; Shilei Wen; Wei Xu 017 (CoRR, 2017)

Unsupervised Learning Layers for Video Analysis. - Liang Zhao 006; Yang Wang 046; Yi Yang 007; Wei Xu 017 (CoRR, 2017)

Occlusion Aware Unsupervised Learning of Optical Flow. - Yang Wang 046; Yi Yang 007; Zhenheng Yang; Liang Zhao 006; Wei Xu 017 (CoRR, 2017)

Occlusion Aware Unsupervised Learning of Optical Flow. - Yang Wang 046; Yi Yang 007; Zhenheng Yang; Liang Zhao 006; Peng Wang 001; Wei Xu 017 (CVPR, 2018)

3D Pose Estimation for Fine-Grained Object Categories. - Yaming Wang; Xiao Tan 001; Yi Yang 007; Xiao Liu 022; Errui Ding; Feng Zhou 002; Larry S. Davis (ECCV Workshops (1), 2018)

Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos. - Yang Wang 046; Zhenheng Yang; Peng Wang 001; Yi Yang 007; Chenxu Luo; Wei Xu 017 (CoRR, 2018)

Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories. - Yaming Wang; Xiao Tan 001; Yi Yang 007; Ziyu Li; Xiao Liu 022; Feng Zhou 002; Larry S. Davis (CoRR, 2018)

Zero-Shot Transfer VQA Dataset. - Yuanpeng Li 001; Yi Yang 007; Jianyu Wang; Wei Xu 017 (CoRR, 2018)

Depth-Based Hand Pose Estimation: Methods, Data, and Challenges. - James Steven Supancic III; Grégory Rogez; Yi Yang 007; Jamie Shotton; Deva Ramanan (Int. J. Comput. Vis., 2018)

UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos. - Yang Wang 046; Peng Wang 001; Zhenheng Yang; Chenxu Luo; Yi Yang 007; Wei Xu 017 (CVPR, 2019)

Recognizing Part Attributes With Insufficient Data. - Xiangyun Zhao; Yi Yang 007; Feng Zhou 002; Xiao Tan 001; Yuchen Yuan; Yingze Bao; Ying Wu 001 (ICCV, 2019)

A Refined 3D Pose Dataset for Fine-Grained Object Categories. - Yaming Wang; Xiao Tan 001; Yi Yang 007; Ziyu Li; Xiao Liu 022; Feng Zhou 002; Larry S. Davis (ICCV Workshops, 2019)

Feedback Convolutional Neural Network for Visual Localization and Segmentation. - Chunshui Cao; Yongzhen Huang; Yi Yang 007; Liang Wang 001; Zilei Wang; Tieniu Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Large-scale multilingual audio visual dubbing. - Yi Yang 007; Brendan Shillingford; Yannis M. Assael; Miaosen Wang; Wendi Liu; Yutian Chen 001; Yu Zhang; Eren Sezener; Luis C. Cobo; Misha Denil; Yusuf Aytar; Nando de Freitas (CoRR, 2020)

TAP-Vid: A Benchmark for Tracking Any Point in a Video. - Carl Doersch; Ankush Gupta 001; Larisa Markeeva; Adrià Recasens; Lucas Smaira; Yusuf Aytar; João Carreira 001; Andrew Zisserman; Yi Yang 007 (NeurIPS, 2022)

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. - Carl Doersch; Yi Yang 007; Mel Vecerík; Dilara Gokay; Ankush Gupta 001; Yusuf Aytar; João Carreira 001; Andrew Zisserman (ICCV, 2023)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models. - Viorica Patraucean; Lucas Smaira; Ankush Gupta 001; Adrià Recasens; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang 007; Carl Doersch; Tatiana Matejovicova; et al. (NeurIPS, 2023)

TacticAI: an AI assistant for football tactics. - Zhe Wang 055; Petar Velickovic; Daniel Hennes; Nenad Tomasev; Laurel Prince; Michael Kaisers; Yoram Bachrach; Romuald Elie; Li Kevin Wenliang; Federico Piccinini; William Spearman; Ian Graham; et al. (CoRR, 2023)

BootsTAP: Bootstrapped Training for Tracking-Any-Point. - Carl Doersch; Pauline Luc; Yi Yang 007; Dilara Gokay; Skanda Koppula; Ankush Gupta 001; Joseph Heyward; Ignacio Rocco; Ross Goroshin; João Carreira 001; Andrew Zisserman (ACCV (2), 2024)

Learning from One Continuous Video Stream. - João Carreira 001; Michael King; Viorica Patraucean; Dilara Gokay; Catalin Ionescu; Yi Yang 007; Daniel Zoran; Joseph Heyward; Carl Doersch; Yusuf Aytar; Dima Damen; Andrew Zisserman (CVPR, 2024)

Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks. - Ben Eisner; Yi Yang 007; Todor Davchev; Mel Vecerík; Jonathan Scholz; David Held (ICLR, 2024)

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. - Mel Vecerík; Carl Doersch; Yi Yang 007; Todor Davchev; Yusuf Aytar; Guangyao Zhou; Raia Hadsell; Lourdes Agapito; Jon Scholz (ICRA, 2024)

TAPVid-3D: A Benchmark for Tracking Any Point in 3D. - Skanda Koppula; Ignacio Rocco; Yi Yang 007; Joseph Heyward; João Carreira 001; Andrew Zisserman; Gabriel Brostow; Carl Doersch (NeurIPS, 2024)

Moving Off-the-Grid: Scene-Grounded Video Representations. - Sjoerd van Steenkiste; Daniel Zoran; Yi Yang 007; Yulia Rubanova; Rishabh Kabra; Carl Doersch; Dilara Gokay; Joseph Heyward; Etienne Pot; Klaus Greff; Drew A. Hudson; Thomas Keck; et al. (NeurIPS, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

From Image to Video: An Empirical Study of Diffusion Representations. - Pedro Vélez; Luisa F. Polanía; Yi Yang 007; Chuhan Zhang; Rishabh Kabra; Anurag Arnab; Mehdi S. M. Sajjadi (CoRR, 2025)

TAPNext: Tracking Any Point (TAP) as Next Token Prediction. - Artem Zholus; Carl Doersch; Yi Yang 007; Skanda Koppula; Viorica Patraucean; Xu Owen He; Ignacio Rocco; Mehdi S. M. Sajjadi; Sarath Chandar; Ross Goroshin (CoRR, 2025)