| Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines B Mildenhall, PP Srinivasan, R Ortiz-Cayon, NK Kalantari, ... ACM Transactions of Graphics (TOG), 2019 | 1108 | 2019 |
| Learning a Multi-View Stereo Machine A Kar, C Häne, J Malik Neural Information Processing Systems (NIPS), 2017 | 578 | 2017 |
| Category-specific object reconstruction from a single image A Kar, S Tulsiani, J Carreira, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 413 | 2015 |
| Skeletal Tracking using Microsoft Kinect A Kar, P Guha, A Mukerjee Tech Report, IIT Kanpur, 2010 | 133 | 2010 |
| Real-time mobile device capture and generation of art-styled AR/VR content SJJ Holzer, Y Ren, A Kar, AJB Trevor, KK Chande, MJN Saelzle, RB Rusu US Patent 10,726,560, 2020 | 87 | 2020 |
| Learning Category-specific Deformable 3D Models for Object Reconstruction S Tulsiani, A Kar, J Carreira, J Malik IEEE transactions on pattern analysis and machine intelligence 39 (4), 719-731, 2017 | 84 | 2017 |
| Real-time mobile device capture and generation of AR/VR content SJJ Holzer, Y Ren, A Kar, AJB Trevor, KK Chande, MJN Saelzle, RB Rusu US Patent 10,719,939, 2020 | 67 | 2020 |
| SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections M Boss, A Engelhardt, A Kar, Y Li, D Sun, JT Barron, H Lensch, ... Neural Information Processing Systems (NeurIPS), 2022 | 65 | 2022 |
| The three R’s of computer vision: Recognition, reconstruction and reorganization J Malik, P Arbeláez, J Carreira, K Fragkiadaki, R Girshick, G Gkioxari, ... Pattern Recognition Letters 72, 4-14, 2016 | 59 | 2016 |
| Amodal completion and size constancy in natural scenes A Kar, S Tulsiani, J Carreira, J Malik Proceedings of the IEEE international conference on computer vision, 127-135, 2015 | 59 | 2015 |
| Scene-aware selection of filters and effects for visual digital media content SJJ Holzer, M Munaro, A Kar, AJB Trevor, KK Chande, MJA Ho, RB Rusu US Patent App. 15/427,030, 2018 | 55 | 2018 |
| Monocular depth estimation using diffusion models S Saxena, A Kar, M Norouzi, DJ Fleet arXiv preprint arXiv:2302.14816, 2023 | 47 | 2023 |
| The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation S Saxena, C Herrmann, J Hur, A Kar, M Norouzi, D Sun, DJ Fleet Neural Information Processing Systems (NIPS), 2023 | 44 | 2023 |
| SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting V Jampani, H Chang, KG Sargent, A Kar, R Tucker, M Krainin, DP Kaeser, ... International Conference on Computer Vision (ICCV), 2021 | 43 | 2021 |
| Unsupervised Semantic Correspondence Using Stable Diffusion E Hedlin, G Sharma, S Mahajan, H Isack, A Kar, A Tagliasacchi, KM Yi Neural Information Processing Systems (NIPS), 2023 | 37 | 2023 |
| Skeleton detection and tracking via client-server communication SJJ Holzer, M Munaro, A Kar, AJB Trevor, KK Chande, RB Rusu US Patent 10,628,675, 2020 | 36 | 2020 |
| Virtual view networks for object reconstruction J Carreira, A Kar, S Tulsiani, J Malik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 36 | 2015 |
| Looking at you: fused gyro and face tracking for viewing large imagery on mobile devices N Joshi, A Kar, M Cohen Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2012 | 35 | 2012 |
| Automatic background replacement for single-image and multi-view captures SJJ Holzer, R Matthias, A Kar, J Santiago, P Hanchar, RB Rusu US Patent 10,949,978, 2021 | 33 | 2021 |
| Learning Independent Object Motion from Unlabelled Stereoscopic Videos Z Cao, A Kar, C Haene, J Malik Computer Vision and Pattern Recognition (CVPR), 2019 | 33 | 2019 |
Stefan HolzerTechnische Universität MünchenVerified email at in.tum.de
