Zhao, Wenbo

11 publications

AAAI 2025 Spatial Annealing for Efficient Few-Shot Neural Rendering Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu

CVPRW 2025 The Fourth Monocular Depth Estimation Challenge Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad

ECCVW 2024 Compressed Depth mAP Super-Resolution and Restoration: AIM 2024 Challenge Results Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua

AISTATS 2024 DHMConv: Directed Hypergraph Momentum Convolution Framework Wenbo Zhao, Zitong Ma, Zhe Yang

ICML 2024 DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng

AISTATS 2024 Directed Hypergraph Representation Learning for Link Prediction Zitong Ma, Wenbo Zhao, Zhe Yang

ECCVW 2024 TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang

AAAI 2022 Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji

CVPR 2022 Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji

AAAI 2022 SpikeConverter: An Efficient Conversion Framework Zipping the Gap Between Artificial Neural Networks and Spiking Neural Networks Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang

ICCV 2021 Improving Neural Network Efficiency via Post-Training Quantization with Adaptive Floating-Point Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang