João Carreira

93 papers A* 28Misc 1Journal 60Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Mixed Diet Makes DINO An Omnivorous Vision Encoder. CoRR Rishabh Kabra, Maks Ovsjanikov, Drew A. Hudson, Ye Xia, Skanda Koppula, Andre Araujo, João Carreira, Niloy J. Mitra
2026	J	`jnl`	Perception Test 2025: Challenge Summary and a Unified VQA Extension. CoRR Joseph Heyward, Nikhil Pathasarathy, Tyler Zhu, Aravindh Mahendran, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
2026	J	`jnl`	TRecViT: A Recurrent Video Transformer. Trans. Mach. Learn. Res. Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2025	A*	`conf`	Direct Motion Models for Assessing Generated Videos. ICML Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Direct Motion Models for Assessing Generated Videos. CoRR Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Generalist Forecasting with Frozen Video Models via Latent Diffusion. CoRR Jacob C. Walker, Pedro Vélez, Luisa Polania Cabrera, Guangyao Zhou, Rishabh Kabra, Carl Doersch, Maks Ovsjanikov, João Carreira, Shiry Ginosar
2025	J	`jnl`	LayerLock: Non-collapsing Representation Learning with Progressive Freezing. CoRR Goker Erdogan, Nikhil Parthasarathy, Catalin Ionescu, Drew A. Hudson, Alexander Lerchner, Andrew Zisserman, Mehdi S. M. Sajjadi, João Carreira
2025	A*	`conf`	Learning from Streaming Video with Orthogonal Gradients. CVPR Tengda Han, Dilara Gokay, Joseph Heyward, Chuhan Zhang, Daniel Zoran, Viorica Patraucean, João Carreira, Dima Damen, Andrew Zisserman
2025	J	`jnl`	Learning from Streaming Video with Orthogonal Gradients. CoRR Tengda Han, Dilara Gokay, Joseph Heyward, Chuhan Zhang, Daniel Zoran, Viorica Patraucean, João Carreira, Dima Damen, Andrew Zisserman
2025	J	`jnl`	OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts. CoRR Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, João Carreira, Priyadarshini Panda
2025	J	`jnl`	Recurrent Video Masked Autoencoders. CoRR Daniel Zoran, Nikhil Parthasarathy, Yi Yang, Drew A. Hudson, João Carreira, Andrew Zisserman
2025	J	`jnl`	Unique Lives, Shared World: Learning from Single-Life Videos. CoRR Tengda Han, Sayna Ebrahimi, Dilara Gokay, Li Yang Ku, Maks Ovsjanikov, Iva Babukova, Daniel Zoran, Viorica Patraucean, João Carreira, Andrew Zisserman, Dima Damen
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`	Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. ICLR Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis
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	J	`jnl`	Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark. CoRR Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
2024	J	`jnl`	Probabilistic Inverse Cameras: Image to 3D via Multiview Geometry. CoRR Rishabh Kabra, Drew A. Hudson, Sjoerd van Steenkiste, João Carreira, Niloy J. Mitra
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
2024	J	`jnl`	TRecViT: A Recurrent Video Transformer. CoRR Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2023	J	`jnl`	Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. CoRR Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis
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	J	`jnl`	Perception Test 2023: A Summary of the First Challenge And Outcome. CoRR Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
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	A*	`conf`	Self-supervised video pretraining yields robust and more human-aligned visual representations. NeurIPS Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
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`	Transframer: Arbitrary Frame Prediction with Generative Models. Trans. Mach. Learn. Res. Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
2023	J	`jnl`	Zorro: the masked multimodal transformer. CoRR Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman
2022	—	`conf`	Compressed Vision for Efficient Video Understanding. ACCV (7) Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski
2022	J	`jnl`	Compressed Vision for Efficient Video Understanding. CoRR Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski
2022	A*	`conf`	General-purpose, long-context autoregressive modeling with Perceiver AR. ICML Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
2022	J	`jnl`	General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
2022	J	`jnl`	Hierarchical Perceiver. CoRR João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
2022	A*	`conf`	Input-level Inductive Biases for 3D Reconstruction. CVPR Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman
2022	—	`conf`	Object Discovery and Representation Networks. ECCV (27) Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
2022	J	`jnl`	Object discovery and representation networks. CoRR Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
2022	A*	`conf`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2022	J	`jnl`	Self-supervised video pretraining yields strong image representations. CoRR Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
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
2022	Misc	`conf`	Towards Learning Universal Audio Representations. ICASSP Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
2022	J	`jnl`	Transframer: Arbitrary Frame Prediction with Generative Models. CoRR Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
2022	J	`jnl`	Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff
2021	A*	`conf`	Efficient Visual Pretraining with Contrastive Detection. ICCV Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
2021	J	`jnl`	Efficient Visual Pretraining with Contrastive Detection. CoRR Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
2021	A*	`conf`	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
2021	J	`jnl`	Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira
2021	J	`jnl`	Input-level Inductive Biases for 3D Reconstruction. CoRR Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman
2021	J	`jnl`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2021	A*	`conf`	Perceiver: General Perception with Iterative Attention. ICML Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, João Carreira
2021	J	`jnl`	Perceiver: General Perception with Iterative Attention. CoRR Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, João Carreira
2021	J	`jnl`	Towards Learning Universal Audio Representations. CoRR Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
2020	J	`jnl`	A Short Note on the Kinetics-700-2020 Human Action Dataset. CoRR Lucas Smaira, João Carreira, Eric Noland, Ellen Clancy, Amy Wu, Andrew Zisserman
2020	A*	`conf`	Sideways: Depth-Parallel Training of Video Models. CVPR Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2020	J	`jnl`	Sideways: Depth-Parallel Training of Video Models. CoRR Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2020	J	`jnl`	The AVA-Kinetics Localized Human Actions Video Dataset. CoRR Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman
2020	A*	`conf`	Visual Grounding in Video for Unsupervised Word Translation. CVPR Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2020	J	`jnl`	Visual Grounding in Video for Unsupervised Word Translation. CoRR Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2019	J	`jnl`	A Short Note on the Kinetics-700 Human Action Dataset. CoRR João Carreira, Eric Noland, Chloe Hillier, Andrew Zisserman
2019	A*	`conf`	Controllable Attention for Structured Layered Video Decomposition. ICCV Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman
2019	J	`jnl`	Controllable Attention for Structured Layered Video Decomposition. CoRR Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman
2019	A*	`conf`	The Visual Centrifuge: Model-Free Layered Video Representations. CVPR Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman
2019	A*	`conf`	Video Action Transformer Network. CVPR Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
2018	J	`jnl`	A Better Baseline for AVA. CoRR Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
2018	J	`jnl`	A Short Note about Kinetics-600. CoRR João Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, Andrew Zisserman
2018	—	`conf`	Massively Parallel Video Networks. ECCV (4) João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero
2018	J	`jnl`	Massively Parallel Video Networks. CoRR João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero
2018	J	`jnl`	The Visual Centrifuge: Model-Free Layered Video Representations. CoRR Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman
2018	J	`jnl`	Video Action Transformer Network. CoRR Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
2017	J	`jnl`	Learning Category-Specific Deformable 3D Models for Object Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. Shubham Tulsiani, Abhishek Kar, João Carreira, Jitendra Malik
2017	A*	`conf`	Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. CVPR João Carreira, Andrew Zisserman
2017	J	`jnl`	Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. CoRR João Carreira, Andrew Zisserman
2017	J	`jnl`	The Kinetics Human Action Video Dataset. CoRR Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman
2016	A*	`conf`	Human Pose Estimation with Iterative Error Feedback. CVPR João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik
2016	J	`jnl`	The three R's of computer vision: Recognition, reconstruction and reorganization. Pattern Recognit. Lett. Jitendra Malik, Pablo Andrés Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani
2015	A*	`conf`	Amodal Completion and Size Constancy in Natural Scenes. ICCV Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
2015	J	`jnl`	Amodal Completion and Size Constancy in Natural Scenes. CoRR Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
2015	A*	`conf`	Category-specific object reconstruction from a single image. CVPR Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
2015	J	`jnl`	Human Pose Estimation with Iterative Error Feedback. CoRR João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik
2015	A*	`conf`	Learning to See by Moving. ICCV Pulkit Agrawal, João Carreira, Jitendra Malik
2015	J	`jnl`	Learning to See by Moving. CoRR Pulkit Agrawal, João Carreira, Jitendra Malik
2015	A*	`conf`	Pose Induction for Novel Object Categories. ICCV Shubham Tulsiani, João Carreira, Jitendra Malik
2015	J	`jnl`	Pose Induction for Novel Object Categories. CoRR Shubham Tulsiani, João Carreira, Jitendra Malik
2015	J	`jnl`	Shape and Symmetry Induction for 3D Objects. CoRR Shubham Tulsiani, Abhishek Kar, Qixing Huang, João Carreira, Jitendra Malik
2015	A*	`conf`	Virtual view networks for object reconstruction. CVPR João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik
2014	J	`jnl`	Category-Specific Object Reconstruction from a Single Image. CoRR Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik
2014	J	`jnl`	Virtual View Networks for Object Reconstruction. CoRR João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik