Zen-nas: A zero-shot nas for high-performance image recognition M Lin, P Wang, Z Sun, H Chen, X Sun, Q Qian, H Li, R Jin Proceedings of the IEEE/CVF International Conference on Computer Vision, 347-356, 2021 | 163 | 2021 |
Damo-yolo: A report on real-time object detection design X Xu, Y Jiang, W Chen, Y Huang, Y Zhang, X Sun arXiv preprint arXiv:2211.15444, 2022 | 161 | 2022 |
GiraffeDet: A Heavy-Neck Paradigm for Object Detection Y Jiang, Z Tan, J Wang, X Sun, M Lin, H Li International Conference on Learning Representations 2022 (ICLR 2022), 2022 | 124* | 2022 |
Text-to-sql empowered by large language models: A benchmark evaluation D Gao, H Wang, Y Li, X Sun, Y Qian, B Ding, J Zhou arXiv preprint arXiv:2308.15363, 2023 | 111 | 2023 |
Entroformer: A Transformer-based Entropy Model for Learned Image Compression Y Qian, M Lin, X Sun, Z Tan, R Jin International Conference on Learning Representations 2022 (ICLR 2022), 2022 | 110 | 2022 |
Beyond appearance: a semantic controllable self-supervised learning framework for human-centric visual tasks W Chen, X Xu, J Jia, H Luo, Y Wang, F Wang, R Jin, X Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 77 | 2023 |
Learning accurate entropy model with global reference for image compression Y Qian, Z Tan, X Sun, M Lin, D Li, Z Sun, H Li, R Jin International Conference on Learning Representations 2021 (ICLR 2021), 2021 | 65 | 2021 |
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection Z Sun, M Lin, X Sun, Z Tan, H Li, R Jin Proceedings of the 39th International Conference on Machine Learning, 20810 …, 2022 | 38* | 2022 |
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space Y Wang, Y Zhang, F Zhang, S Wang, M Lin, YQ Zhang, X Sun International Conference on Learning Representations 2022 (ICLR 2022), 2022 | 29 | 2022 |
Deepmad: Mathematical architecture design for deep convolutional neural network X Shen, Y Wang, M Lin, Y Huang, H Tang, X Sun, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
Neural architecture design for gpu-efficient networks M Lin, H Chen, X Sun, Q Qian, H Li, R Jin arXiv preprint arXiv:2006.14090, 2020 | 22 | 2020 |
Channel-max, channel-drop and stochastic max-pooling Y Huang, X Sun, M Lu, M Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 21 | 2015 |
Exploring the quality of gan generated images for person re-identification Y Jiang, W Chen, X Sun, X Shi, F Wang, H Li Proceedings of the 29th ACM International Conference on Multimedia, 4146-4155, 2021 | 19 | 2021 |
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search H Wang, C Ge, H Chen, X Sun Proceedings of the 40th International Conference on Machine Learning, 2023 | 17 | 2023 |
Entropy-Driven Mixed-Precision Quantization for Deep Network Design Z Sun, C Ge, J Wang, M Lin, H Chen, H Li, X Sun Advances in Neural Information Processing Systems, 2022 | 17 | 2022 |
Interpolation variable rate image compression Z Sun, Z Tan, X Sun, F Zhang, Y Qian, D Li, H Li Proceedings of the 29th ACM international conference on multimedia, 5574-5582, 2021 | 16 | 2021 |
Nas-bench-zero: A large scale dataset for understanding zero-shot neural architecture search H Chen, M Lin, X Sun, H Li | 16* | 2021 |
Spatiotemporal entropy model is all you need for learned video compression Z Sun, Z Tan, X Sun, F Zhang, D Li, Y Qian, H Li arXiv preprint arXiv:2104.06083, 2021 | 15 | 2021 |
Parallel active contour with lattice Boltzmann scheme on modern GPU X Sun, Z Wang, G Chen 2012 19th IEEE International Conference on Image Processing, 1709-1712, 2012 | 13 | 2012 |
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition J Wang, Z Sun, Y Qian, D Gong, X Sun, M Lin, M Pagnucco, Y Song International Conference on Learning Representations, 2023 | 11 | 2023 |