| Deep Adversarial Metric Learning Y Duan, W Zheng, X Lin, J Lu, J Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 271 | 2018 |
| All in one: Exploring unified video-language pre-training J Wang, Y Ge, R Yan, Y Ge, KQ Lin, S Tsutsui, X Lin, G Cai, J Wu, Y Shan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 230 | 2023 |
| Dmc-net: Generating discriminative motion cues for fast compressed video action recognition Z Shou, X Lin, Y Kalantidis, L Sevilla-Lara, M Rohrbach, SF Chang, Z Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 161 | 2019 |
| Clip-event: Connecting text and images with event structures M Li, R Xu, S Wang, L Zhou, X Lin, C Zhu, M Zeng, H Ji, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 140 | 2022 |
| Deep Variational Metric Learning X Lin, Y Duan, Q Dong, J Lu, J Zhou Proceedings of the European Conference on Computer Vision (ECCV), 689-704, 2018 | 132 | 2018 |
| Language models with image descriptors are strong few-shot video-language learners Z Wang, M Li, R Xu, L Zhou, J Lei, X Lin, S Wang, Z Yang, C Zhu, ... Advances in Neural Information Processing Systems 35, 8483-8497, 2022 | 131 | 2022 |
| BLINK: Multimodal Large Language Models Can See but Not Perceive X Fu, Y Hu, B Li, Y Feng, H Wang, X Lin, D Roth, NA Smith, WC Ma, ... arXiv preprint arXiv:2404.12390, 2024 | 101 | 2024 |
| Object-aware Video-language Pre-training for Retrieval J Wang, Y Ge, G Cai, R Yan, X Lin, Y Shan, X Qie, MZ Shou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 88 | 2022 |
| Learning To Recognize Procedural Activities with Distant Supervision X Lin, F Petroni, G Bertasius, M Rohrbach, SF Chang, L Torresani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 84 | 2022 |
| VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs X Lin, G Bertasius, J Wang, SF Chang, D Parikh, L Torresani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 76 | 2021 |
| Context-Gated Convolution X Lin, L Ma, W Liu, SF Chang ECCV 2020, 2019 | 66 | 2019 |
| RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System H Wen, Y Lin, T Lai, X Pan, S Li, X Lin, B Zhou, M Li, H Wang, H Zhang, ... Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 63 | 2021 |
| Supervised masked knowledge distillation for few-shot transformers H Lin, G Han, J Ma, S Huang, X Lin, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 45 | 2023 |
| Resin-11: Schema-guided event prediction for 11 newsworthy scenarios X Du, Z Zhang, S Li, P Yu, H Wang, T Lai, X Lin, Z Wang, I Liu, B Zhou, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 39 | 2022 |
| GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning Y Duan, Z Wang, J Lu, X Lin, J Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 37 | 2018 |
| Exploring the reasoning abilities of multimodal large language models (mllms): A comprehensive survey on emerging trends in multimodal reasoning Y Wang, W Chen, X Han, X Lin, H Zhao, Y Liu, B Zhai, J Yuan, Q You, ... arXiv preprint arXiv:2401.06805, 2024 | 34 | 2024 |
| Joint Multimedia Event Extraction from Video and Article B Chen, X Lin, C Thomas, M Li, S Yoshida, L Chum, H Ji, SF Chang arXiv preprint arXiv:2109.12776, 2021 | 31 | 2021 |
| Towards fast adaptation of pretrained contrastive models for multi-channel video-language retrieval X Lin, S Tiwari, S Huang, M Li, MZ Shou, H Ji, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
| Learning to Decompose Visual Features with Latent Textual Prompts F Wang, M Li, X Lin, H Lv, AG Schwing, H Ji arXiv preprint arXiv:2210.04287, 2022 | 29 | 2022 |
| MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding R Gangi Reddy, X Rui, M Li, X Lin, H Wen, J Cho, L Huang, M Bansal, ... arXiv e-prints, arXiv: 2112.10728, 2021 | 23* | 2021 |
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia Universityایمیل تأیید شده در columbia.edu