Looking at you: fused gyro and face tracking for viewing large imagery on mobile devices. - Neel Joshi; Abhishek Kar; Michael F. Cohen (CHI, 2012)

Virtual view networks for object reconstruction. - João Carreira 001; Abhishek Kar; Shubham Tulsiani; Jitendra Malik (CVPR, 2015)

Category-specific object reconstruction from a single image. - Abhishek Kar; Shubham Tulsiani; João Carreira 001; Jitendra Malik (CVPR, 2015)

Amodal Completion and Size Constancy in Natural Scenes. - Abhishek Kar; Shubham Tulsiani; João Carreira 001; Jitendra Malik (ICCV, 2015)

Shape and Symmetry Induction for 3D Objects. - Shubham Tulsiani; Abhishek Kar; Qixing Huang; João Carreira 001; Jitendra Malik (CoRR, 2015)

The three R's of computer vision: Recognition, reconstruction and reorganization. - Jitendra Malik; Pablo Andrés Arbeláez; João Carreira 001; Katerina Fragkiadaki; Ross B. Girshick; Georgia Gkioxari; Saurabh Gupta 001; Bharath Hariharan; Abhishek Kar; Shubham Tulsiani (Pattern Recognit. Lett., 2016)

Control of Two-Axis Helicopter Model Using Fuzzy Logic. - Abhishek Kar; Nirmal Baran Hui (CICBA (2), 2017)

Learning a Multi-View Stereo Machine. - Abhishek Kar; Christian Häne; Jitendra Malik (NIPS, 2017)

Learning Category-Specific Deformable 3D Models for Object Reconstruction. - Shubham Tulsiani; Abhishek Kar; João Carreira 001; Jitendra Malik (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Learning to Reconstruct 3D Objects. - Abhishek Kar (2017)

Learning Independent Object Motion From Unlabelled Stereoscopic Videos. - Zhe Cao; Abhishek Kar; Christian Hane; Jitendra Malik (CVPR, 2019)

Local light field fusion: practical view synthesis with prescriptive sampling guidelines. - Ben Mildenhall; Pratul P. Srinivasan; Rodrigo Ortiz Cayon; Nima Khademi Kalantari; Ravi Ramamoorthi; Ren Ng; Abhishek Kar (ACM Trans. Graph., 2019)

Free-Viewpoint Facial Re-Enactment from a Casual Capture. - Srinivas Rao; Rodrigo Ortiz Cayon; Matteo Munaro; Aidas Liaudanskas; Krunal Chande; Tobias Bertel; Christian Richardt; Alexander J. B. Trevor; Stefan Holzer; Abhishek Kar (SIGGRAPH Asia Posters, 2020)

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. - Varun Jampani; Huiwen Chang; Kyle Sargent; Abhishek Kar; Richard Tucker 001; Michael Krainin; Dominik Kaeser; William T. Freeman; David Salesin; Brian Curless; Ce Liu 001 (ICCV, 2021)

Simulation-Based Power-Loss Optimization of General-Purpose High-Voltage SiC MOSFET Circuit Under High-Frequency Operation. - Abhishek Kar; Mitiko Miura-Mattausch; Mainak Sengupta; Dondee Navarro; Hideyuki Kikuchihara; Takahiro Iizuka; Hafizur Rahaman 001; Hans Jürgen Mattausch (IEEE Access, 2021)

Learned Monocular Depth Priors in Visual-Inertial Initialization. - Yunwen Zhou; Abhishek Kar; Eric Turner 001; Adarsh Kowdle; Chao X. Guo; Ryan C. DuToit; Konstantine Tsotsos (ECCV (22), 2022)

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. - Mark Boss; Andreas Engelhardt; Abhishek Kar; Yuanzhen Li; Deqing Sun; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (NeurIPS, 2022)

Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming. - Ruofei Du; Na Li; Jing Jin; Michelle Carney; Scott Miles; Maria Kleiner; Xiuxiu Yuan; Yinda Zhang 001; Anuva Kulkarni; Xingyu Liu 002; Ahmed Sabie; Sergio Orts-Escolano; et al. (CHI, 2023)

DC2: Dual-Camera Defocus Control by Learning to Refocus. - Hadi Alzayer; Abdullah Abuolaim; Leung Chun Chan; Yang Yang; Ying Chen Lou; Jia-Bin Huang 001; Abhishek Kar (CVPR, 2023)

ASIC: Aligning Sparse in-the-wild Image Collections. - Kamal Gupta 002; Varun Jampani; Carlos Esteves; Abhinav Shrivastava; Ameesh Makadia; Noah Snavely; Abhishek Kar (ICCV, 2023)

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. - Zezhou Cheng; Carlos Esteves; Varun Jampani; Abhishek Kar; Subhransu Maji; Ameesh Makadia (ICCV, 2023)

Unsupervised Semantic Correspondence Using Stable Diffusion. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2023)

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation. - Saurabh Saxena; Charles Herrmann; Junhwa Hur; Abhishek Kar; Mohammad Norouzi 002; Deqing Sun; David J. Fleet (NeurIPS, 2023)

Monocular Depth Estimation using Diffusion Models. - Saurabh Saxena; Abhishek Kar; Mohammad Norouzi 002; David J. Fleet (CoRR, 2023)

Probing the 3D Awareness of Visual Foundation Models. - Mohamed El Banani; Amit Raj; Kevis-Kokitsi Maninis; Abhishek Kar; Yuanzhen Li; Michael Rubinstein; Deqing Sun; Leonidas J. Guibas; Justin Johnson 001; Varun Jampani (CVPR, 2024)

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. - Andreas Engelhardt; Amit Raj; Mark Boss; Yunzhi Zhang; Abhishek Kar; Yuanzhen Li; Deqing Sun; Ricardo Martin-Brualla; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (CVPR, 2024)

Unsupervised Keypoints from Pretrained Diffusion Models. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Xingzhe He; Hossam Isack; Abhishek Kar; Helge Rhodin; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

Accelerating Neural Field Training via Soft Mining. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

NeRFiller: Completing Scenes via Generative 3D Inpainting. - Ethan Weber; Aleksander Holynski; Varun Jampani; Saurabh Saxena; Noah Snavely; Abhishek Kar; Angjoo Kanazawa (CVPR, 2024)

3D Gaussian Splatting as Markov Chain Monte Carlo. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Weiwei Sun; Yang-Che Tseng; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2024)

3D Gaussian Splatting as Markov Chain Monte Carlo. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Weiwei Sun; Jeff Tseng; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (CoRR, 2024)