A collection if source code from all projects I have been involved in.
| code | PartDistillation: Learning Parts from Instance Segmentation, CVPR 2023 |
| code | Learning Video Representations from Large Language Models, CVPR 2023 |
| code | Language Conditioned Traffic Generation, CoRL 2023 |
| code | Language-conditioned Detection Transformer, CVPR 2023 |
| code | Predicting a Protein's Stability under a Million Mutations, NeurIPS 2023 |
| code | Real-Time Online Video Detection with Temporal Smoothing Transformers, ECCV 2022 |
| code | Long-tail detection with effective class-margins, ECCV 2022 |
| code | Detecting twenty-thousand classes using image-level supervision, ECCV 2022 |
| code | Learning from All Vehicles, CVPR 2022 |
| code | Cross-view Transformers for real-time Map-view Semantic Segmentation, CVPR 2022 |
| code | Global Tracking Transformers, CVPR 2022 |
| code | Simple multi-dataset detection, CVPR 2022 |
| code | Multimodal Virtual Point 3D Detection, NeurIPS 2021 |
| code | Center-based 3d object detection and tracking, CVPR 2021 |
| code | Memory Optimization for Deep Networks, ICLR 2021 |
| code | Domain Adaptation Through Task Distillation, ECCV 2020 |
| code | Tracking Objects as Points, ECCV 2020 |
| code | A Multigrid Method for Efficiently Training Video Models, CVPR 2020 |
| code | Learning by Cheating, CORL 2019 |
| code | Objects as points, arXiv preprint arXiv:1904.07850 2019 |
| code | Long-Term Feature Banks for Detailed Video Understanding, CVPR 2019 |
| code | Bottom-up Object Detection by Grouping Extreme and Center Points, CVPR 2019 |
| code | Joint Monocular 3D Vehicle Detection and Tracking, ICCV 2019 |
| code | Does Computer Vision Matter for Action?, Science Robotics 2019 |
| code | Video Compression through Image Interpolation, ECCV 2018 |
| code | Compressed Video Action Recognition, CVPR 2018 |
| code | Free Supervision from Video Games, CVPR 2018 |
| code | Sampling Matters in Deep Embedding Learning, ICCV 2017 |
| code | Adversarial Feature Learning, ICLR 2017 |
| code | Generative Visual Manipulation on the Natural Image Manifold, ECCV 2016 |
| code | Context Encoders: Feature Learning by Inpainting, CVPR 2016 |
| code | Data-dependent initializations of convolutional neural networks, ICLR 2016 |
| code | Learning a Discriminative Model for the Perception of Realism in Composite Images, ICCV 2015 |
| code | Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition, ICCV 2015 |
| code | Constrained Convolutional Neural Networks for Weakly Supervised Segmentation, ICCV 2015 |
| code | Learning to propose objects, CVPR 2015 |
| code | Geodesic Object Proposals, ECCV 2014 |
| code | Parameter Learning and Convergent Inference for Dense Random Fields, ICML 2013 |
| code | Saliency Filters: Contrast Based Filtering for Salient Region Detection, CVPR 2012 |
| code | Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials, NIPS 2011 |