@inproceedings{yang2024openworld, title = {Open-World Human-Object Interaction Detection via Multi-modal Prompts}, author = {Yang, Jie and Li, Bingliang and Zeng, Ailing and Zhang, Lei and Zhang, Ruimao}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2024} }
@inproceedings{li2024visual, title = {Visual In-Context Prompting}, author = {Li, Feng and Jiang, Qing and Zhang, Hao and Liu, Shilong and Xu, Huaizhe and Zou, Xueyan and Ren, Tianhe and Li, Hongyang and Zhang, Lei and Li, Chunyuan and Yang, Jianwei and Gao, Jianfeng}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2024} }
@inproceedings{huang2024tag, title = {Tag2Text: Guiding Vision-Language Model via Image Tagging}, author = {Huang, Xinyu and Zhang, Youcai and Ma, Jinyu and Tian, Weiwei and Feng, Rui and Zhang, Yuejie and Li, Yaqian and Guo, Yandong and Zhang, Lei}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024} }
@inproceedings{liu2024symbol, title = {Symbol as Points: Panoptic Symbol Spotting via Point-based Representation}, author = {Liu, Wenlong and Yang, Tianyu and Wang, Yuhan and Yu, Qizhi and Zhang, Lei}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024} }
@inproceedings{cheng2024progressive, title = {Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts}, author = {Cheng, Xinhua and Yang, Tianyu and Wang, Jianan and Li, Yu and Zhang, Lei and Zhang, Jian and Yuan, Li}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024} }
@inproceedings{huang2024dreamtime, title = {DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation}, author = {Huang, Yukun and Wang, Jianan and Shi, Yukai and Tang, Boshi and Qi, Xianbiao and Zhang, Lei}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024} }
@inproceedings{shi2024toss, title = {TOSS: High-quality Text-guided Novel View Synthesis from a Single Image}, author = {Shi, Yukai and Wang, Jianan and CAO, He and Tang, Boshi and Qi, Xianbiao and Yang, Tianyu and Huang, Yukun and Liu, Shilong and Zhang, Lei and Shum, Heung-Yeung}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024} }
@inproceedings{huang2023dreamwaltz, title = {DreamWaltz: Make a Scene with Complex 3D Animatable Avatars}, author = {Huang, Yukun and Wang, Jianan and Zeng, Ailing and Cao, He and Qi, Xianbiao and Shi, Yukai and Zha, Zheng-Jun and Zhang, Lei}, booktitle = {Conference on Neural Information Processing Systems (NeurIPS)}, year = {2023} }
@inproceedings{cai2023smplerx, title = {SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation}, author = {Cai, Zhongang and Yin, Wanqi and Zeng, Ailing and Wei, Chen and Sun, Qingping and Wang, Yanjun and Pang, Hui En and Mei, Haiyi and Zhang, Mingyuan and Zhang, Lei and Loy, Chen Change and Yang, Lei and Liu, Ziwei}, booktitle = {Conference on Neural Information Processing Systems (NeurIPS)}, year = {2023} }
@inproceedings{liu2023comprehensive, title = {A Comprehensive Benchmark for Neural Human Body Rendering}, author = {Liu, Kenkun and Jin, Derong and Zeng, Ailing and Han, Xiaoguang and Zhang, Lei}, booktitle = {Conference on Neural Information Processing Systems (NeurIPS)}, year = {2023} }
@inproceedings{lin2023motionx, title = {Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset}, author = {Lin, Jing and Zeng, Ailing and Lu, Shunlin and Cai, Yuanhao and Zhang, Ruimao and Wang, Haoqian and Zhang, Lei}, booktitle = {Conference on Neural Information Processing Systems (NeurIPS)}, year = {2023} }
@inproceedings{zhang2023simple, title = {A Simple Framework for Open-Vocabulary Segmentation and Detection}, author = {Zhang, Hao and Li, Feng and Zou, Xueyan and Liu, Shilong and Li, Chunyuan and Gao, Jianfeng and Yang, Jianwei and Zhang, Lei}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2023} }
@inproceedings{liu2023detection, title = {Detection Transformer with Stable Matching}, author = {Liu, Shilong and Ren, Tianhe and Chen, Jiayu and Zeng, Zhaoyang and Zhang, Hao and Li, Feng and Li, Hongyang and Huang, Jun and Su, Hang and Zhu, Jun and Zhang, Lei}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2023} }
@inproceedings{li2023dfa3d, title = {DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting}, author = {Li, Hongyang and Zhang, Hao and Zeng, Zhaoyang and Liu, Shilong and Li, Feng and Ren, Tianhe and Zhang, Lei}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2023} }
@inproceedings{yang2023nerual, title = {Neural Interactive Keypoint Detection}, author = {Yang, Jie and Zeng, Ailing and Li, Feng and Liu, Shilong and Zhang, Ruimao and Zhang, Lei}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2023} }
@inproceedings{fan2023rca, title = {RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning}, author = {Fan, Jiashuo and Liang, Yaoyuan and Liu, Leyao and Huang, Shaolun and Zhang, Lei}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2023} }
@inproceedings{ju2023humansd, title = {HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation}, author = {Ju, Xuan and Zeng, Ailing and Zhao, Chenchen and Wang, Jianan and Zhang, Lei and Xu, Qiang}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2023} }
@inproceedings{li2022mask, title = {Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation}, author = {Li, Feng and Zhang, Hao and Xu, Huaizhe and Liu, Shilong and Zhang, Lei and Ni, Lionel M. and Shum, Heung-Yeung}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2023} }
@inproceedings{zhang2023mp, title = {MP-Former: Mask-piloted transformer for image segmentation}, author = {Zhang, Hao and Li, Feng and Xu, Huaizhe and Huang, Shijia and Liu, Shilong and Ni, Lionel M and Zhang, Lei}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2023} }
@inproceedings{lin2023one, title = {One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer}, author = {Lin, Jing and Zeng, Ailing and Wang, Haoqian and Zhang, Lei and Li, Yu}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2023} }
@inproceedings{li2023lite, title = {Lite DETR: An interleaved multi-scale encoder for efficient detr}, author = {Li, Feng and Zeng, Ailing and Liu, Shilong and Zhang, Hao and Li, Hongyang and Zhang, Lei and Ni, Lionel M}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2023} }
@inproceedings{chen2023disco, title = {DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training}, author = {Chen, Yihao and Qi, Xianbiao and Wang, Jianan and Zhang, Lei}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2023} }
@inproceedings{ju2023human, title = {Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes}, author = {Ju, Xuan and Zeng, Ailing and Wang, Jianan and Xu, Qiang and Zhang, Lei}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2023} }
@inproceedings{zhang2023dino, title = {DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection}, author = {Zhang, Hao and Li, Feng and Liu, Shilong and Zhang, Lei and Su, Hang and Zhu, Jun and Ni, Lionel M. and Shum, Heung-Yeung}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023} }
@inproceedings{yang2023edpose, title = {Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation}, author = {Yang, Jie and Zeng, Ailing and Liu, Shilong and Li, Feng and Zhang, Ruimao and Zhang, Lei}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023} }
@inproceedings{qi2023lipsformer, title = {LipsFormer: Introducing Lipschitz Continuity to Vision Transformers}, author = {Qi, Xianbiao and Wang, Jianan and Chen, Yihao and Shi, Yukai and Zhang, Lei}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023} }
@inproceedings{liu2023dq, title = {DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding}, author = {Liu, Shilong and Liang, Yaoyuan and Li, Feng and Huang, Shijia and Zhang, Hao and Su, Hang and Zhu, Jun and Zhang, Lei}, booktitle = {AAAI}, year = {2023} }
@inproceedings{li2022dn, title = {DN-DETR: Accelerate DETR Training by Introducing Query DeNoising}, author = {Li, Feng and Zhang, Hao and Liu, Shilong and Guo, Jian and Ni, Lionel M and Zhang, Lei}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2022} }
@inproceedings{li2022grounded, title = {Grounded Language-Image Pre-training}, author = {Li, Liunian Harold and Zhang, Pengchuan and Zhang, Haotian and Yang, Jianwei and Li, Chunyuan and Zhong, Yiwu and Wang, Lijuan and Yuan, Lu and Zhang, Lei and Hwang, Jenq-Neng and Chang, Kai-Wei and Gao, Jianfeng}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2022} }
@inproceedings{liu2022dab, title = {DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR}, author = {Liu, Shilong and Li, Feng and Zhang, Hao and Yang, Xiao and Qi, Xianbiao and Su, Hang and Zhu, Jun and Zhang, Lei}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022} }
@inproceedings{wu2021cvt, title = {CvT: Introducing Convolutions to Vision Transformers}, author = {Wu, Haiping and Xiao, Bin and Codella, Noel and Liu, Mengchen and Dai, Xiyang and Yuan, Lu and Zhang, Lei}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2021} }
@inproceedings{zhang2021msvit, title = {Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding}, author = {Zhang, Pengchuan and Dai, Xiyang and Yang, Jianwei and Xiao, Bin and Yuan, Lu and Zhang, Lei and Gao, Jianfeng}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2021} }
@inproceedings{dai2021dynamicdetr, title = {Dynamic DETR: End-to-End Object Detection with Dynamic Attention}, author = {Dai, Xiyang and Chen, Yinpeng and Yang, Jianwei and Zhang, Pengchuan and Yuan, Lu and Zhang, Lei}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2021} }
@inproceedings{li2021micronet, title = {MicroNet: Improving Image Recognition with Extremely Low FLOPs}, author = {Li, Yunsheng and Chen, Yinpeng and Dai, Xiyang and Chen, Dongdong and Liu, Mengchen and Yuan, Lu and Liu, Zicheng and Zhang, Lei and Vasconcelos, Nuno}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2021} }
@inproceedings{li2021improve, title = {Improve Unsupervised Pretraining for Few-label Transfer}, author = {Li, Suichan and Chen, Dongdong and Chen, Yinpeng and Yuan, Lu and Zhang, Lei and Chu, Qi and Liu, Bin and Yu, Nenghai}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2021} }
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@inproceedings{yang2021tap, title = {TAP: Text-Aware Pre-training for Text-VQA and Text-Caption}, author = {Yang, Zhengyuan and Lu, Yijuan and Wang, Jianfeng and Yin, Xi and Florencio, Dinei and Wang, Lijuan and Zhang, Cha and Zhang, Lei and Luo, Jiebo}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2021} }
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@inproceedings{zhong2021dap, title = {DAP: Detection-Aware Pre-training with Weak Supervision}, author = {Zhong, Yuanyi and Wang, Jianfeng and Wang, Lijuan and Peng, Jian and Wang, Yu-Xiong and Zhang, Lei}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2021} }
@inproceedings{zhang2021vinvl, title = {VinVL: Revisiting Visual Representations in Vision-Language Models}, author = {Zhang, Pengchuan and Li, Xiujun and Hu, Xiaowei and Yang, Jianwei and Zhang, Lei and Wang, Lijuan and Choi, Yejin and Gao, Jianfeng}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2021} }
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@inproceedings{fang2021seed, title = {SEED: Self-supervised Distillation For Visual Representation}, author = {Fang, Zhiyuan and Wang, Jianfeng and Wang, Lijuan and Zhang, Lei and Yang, Yezhou and Liu, Zicheng}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021} }
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