Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 696 | 2022 |
Domain adaptive hand keypoint and pixel localization in the wild T Ohkawa, YJ Li, Q Fu, R Furuta, KM Kitani, Y Sato European Conference on Computer Vision, 68-87, 2022 | 17 | 2022 |
Deformer: Dynamic fusion transformer for robust hand pose estimation Q Fu, X Liu, R Xu, JC Niebles, KM Kitani Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
Sequential voting with relational box fields for active object detection Q Fu, X Liu, K Kitani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12* | 2022 |
Speculative Streaming: Fast LLM Inference without Auxiliary Models N Bhendawade, I Belousova, Q Fu, H Mason, M Rastegari, M Najibi arXiv preprint arXiv:2402.11131, 2024 | 4 | 2024 |
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline CY Lin, Q Fu, T Merth, K Yang, A Ranjan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models M Cho, KA Vahid, Q Fu, S Adya, CC Del Mundo, M Rastegari, D Naik, ... IEEE Computer Architecture Letters, 2024 | 1 | 2024 |
A Self-Supervised Deep Model for Focal Stacking W Du, Q Fu, Z Huang CLEO: Applications and Technology, JTh3A. 10, 2022 | 1 | 2022 |
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference Q Fu, M Cho, T Merth, S Mehta, M Rastegari, M Najibi arXiv preprint arXiv:2407.14057, 2024 | | 2024 |
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation T Merth, Q Fu, M Rastegari, M Najibi arXiv preprint arXiv:2404.06910, 2024 | | 2024 |
EgoAugment: CMU-KLAB Submission to the EPIC-Kitchens Action Recognition 2021 Challenge X Huang, Y Yuan, X Liu, Q Fu, KM Kitani | | 2021 |