| 2024 | FlexAttention for Efficient High-Resolution Vision-Language Models. | Junyan Li, Delin Chen, Tianle Cai, Peihao Chen, Yining Hong, Zhenfang Chen, Yikang Shen, Chuang Gan |
| 2024 | Learning Multi-Manifold Embedding for Out-of-Distribution Detection. | Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen |
| 2024 | PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation. | Zhenyu Li, Shariq Farooq Bhat, Peter Wonka |
| 2024 | Self-supervised Representation Learning for Adversarial Attack Detection. | Yi Li, Plamen Angelov, Neeraj Suri |
| 2024 | Asymmetric Mask Scheme for Self-supervised Real Image Denoising. | Xiangyu Liao, Tianheng Zheng, Jiayu Zhong, Pingping Zhang, Chao Ren |
| 2024 | GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation. | Bangyan Liao, Zhenjun Zhao, Lu Chen, Haoang Li, Daniel Cremers, Peidong Liu |
| 2024 | SENC: Handling Self-collision in Neural Cloth Simulation. | Zhouyingcheng Liao, Sinan Wang, Taku Komura |
| 2024 | MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. | Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du |
| 2024 | COIN-Matting: Confounder Intervention for Image Matting. | Zhaohe Liao, Jiangtong Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Li Niu, Liqing Zhang |
| 2024 | Lane Graph as Path: Continuity-Preserving Path-Wise Modeling for Online Lane Graph Construction. | Bencheng Liao, Shaoyu Chen, Bo Jiang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang |
| 2024 | Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration. | Zhihao Liang, Qi Zhang, Wenbo Hu, Lei Zhu, Ying Feng, Kui Jia |
| 2024 | Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. | Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang |
| 2024 | SCAPE: A Simple and Strong Category-Agnostic Pose Estimator. | Yujia Liang, Zixuan Ye, Wenze Liu, Hao Lu |
| 2024 | Learning Quantized Adaptive Conditions for Diffusion Models. | Yuchen Liang, Yuchan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen |
| 2024 | Hybrid Spatial-Spectral Neural Network for Hyperspectral Image Denoising. | Hao Liang, Chengjie Ke, Kun Li |
| 2024 | Camera Calibration Using a Collimator System. | Shunkun Liang, Banglei Guan, Zhenbao Yu, Pengju Sun, Yang Shang |
| 2024 | Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. | Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang |
| 2024 | MoVideo: Motion-Aware Video Generation with Diffusion Model. | Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan |
| 2024 | Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference. | Qian Liang, Yan Chen, Yang Hu |
| 2024 | De-confounded Gaze Estimation. | Ziyang Liang, Yiwei Bao, Feng Lu |
| 2024 | Rethinking Features-Fused-Pyramid-Neck for Object Detection. | Hulin Li |
| 2024 | Diffusion Model for Robust Multi-sensor Fusion in 3D Object Detection and BEV Segmentation. | Duy-Tho Le, Hengcan Shi, Jianfei Cai, Hamid Rezatofighi |
| 2024 | Grounding Image Matching in 3D with MASt3R. | Vincent Leroy, Yohann Cabon, Jrme Revaud |
| 2024 | Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection? | Rosario Leonardi, Antonino Furnari, Francesco Ragusa, Giovanni Maria Farinella |
| 2024 | Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets. | Qin Lei, Jiang Zhong, Qizhu Dai |