Liu, Yong-Jin

31 publications

AAAI 2025 DiveR-CT: Diversity-Enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang

CVPR 2025 Rectified Diffusion Guidance for Conditional Generation Mengfei Xia, Nan Xue, Yujun Shen, Ran Yi, Tieliang Gong, Yong-Jin Liu

CVPR 2025 StdGEN: Semantic-Decomposed 3D Character Generation from Single Images Yuze He, Yanning Zhou, Wang Zhao, Zhongkai Wu, Kaiwen Xiao, Wei Yang, Yong-Jin Liu, Xiao Han

ICCV 2025 TeethGenerator: A Two-Stage Framework for Paired Pre- and Post-Orthodontic 3D Dental Data Generation Changsong Lei, Yaqian Liang, Shaofeng Wang, Jiajia Dai, Yong-Jin Liu

AAAI 2025 Weighted Poisson-Disk Resampling on Large-Scale Point Clouds Xianhe Jiao, Chenlei Lv, Junli Zhao, Ran Yi, Yu-Hui Wen, Zhenkuan Pan, Zhongke Wu, Yong-Jin Liu

NeurIPS 2024 AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos Yuze He, Wang Zhao, Shaohui Liu, Yubin Hu, Yushi Bai, Yu-Hui Wen, Yong-Jin Liu

ICMLW 2024 DiveR-CT: Diversity-Enhanced Red Teaming with Relaxing Constraints Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-jin Liu, Zilong Zheng, Gao Huang

AAAI 2024 ExpeL: LLM Agents Are Experiential Learners Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang

AAAI 2024 Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu

CVPRW 2024 Exploring Text-to-Motion Generation with Human Preference Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu

ECCV 2024 NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis Yubin Hu, Xiaoyang Guo, Yang Xiao, Jingwei Huang, Yong-Jin Liu

AAAI 2024 O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-Trained 2D Diffusion Model Yubin Hu, Sheng Ye, Wang Zhao, Matthieu Lin, Yuze He, Yu-Hui Wen, Ying He, Yong-Jin Liu

ICML 2024 SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia, Yujun Shen, Ceyuan Yang, Ran Yi, Wenping Wang, Yong-Jin Liu

NeurIPS 2024 SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset Yubin Hu, Kairui Wen, Heng Zhou, Xiaoyang Guo, Yong-Jin Liu

IJCAI 2024 SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models Ran Zuo, Haoxiang Hu, Xiaoming Deng, Cangjun Gao, Zhengming Zhang, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang

AAAI 2024 SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation Haoxiang Hu, Cangjun Gao, Yaokun Li, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang

CVPR 2024 Towards More Accurate Diffusion Model Acceleration with a Timestep Tuner Mengfei Xia, Yujun Shen, Changsong Lei, Yu Zhou, Deli Zhao, Ran Yi, Wenping Wang, Yong-Jin Liu

AAAI 2023 DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images Yuze He, Yubin Hu, Wang Zhao, Jisheng Li, Yong-Jin Liu, Yuxing Han, Jiangtao Wen

CVPR 2023 Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos Yubin Hu, Yuze He, Yanghao Li, Jisheng Li, Yuxing Han, Jiangtao Wen, Yong-Jin Liu

AAAI 2023 FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces Mengfei Xia, Yezhi Shu, Yuji Wang, Yu-Kun Lai, Qiang Li, Pengfei Wan, Zhongyuan Wang, Yong-Jin Liu

IJCAI 2023 Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu

NeurIPS 2022 A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao, Matthieu Lin, Yangguang Li, Yong-jin Liu, Gao Huang

ECCV 2022 Audio-Driven Stylized Gesture Generation with Flow-Based Model Sheng Ye, Yu-Hui Wen, Yanan Sun, Ying He, Ziyang Zhang, Yaoyuan Wang, Weihua He, Yong-Jin Liu

ECCV 2022 PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows Aihua Mao, Zihui Du, Yu-Hui Wen, Jun Xuan, Yong-Jin Liu

ECCV 2022 ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu

ICCV 2021 A Confidence-Based Iterative Solver of Depths and Surface Normals for Deep Multi-View Stereo Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu

ICCV 2021 AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, Juyong Zhang

CVPR 2021 Autoregressive Stylized Motion Synthesis with Generative Flow Yu-Hui Wen, Zhipeng Yang, Hongbo Fu, Lin Gao, Yanan Sun, Yong-Jin Liu

ECCV 2020 SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches Fang Liu, Changqing Zou, Xiaoming Deng, Ran Zuo, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang

CVPR 2017 Learning to Rank Retargeted Images Yang Chen, Yong-Jin Liu, Yu-Kun Lai

CVPR 2016 Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels Yong-Jin Liu, Cheng-Chi Yu, Min-Jing Yu, Ying He