no code implementations • CVPR 2022 • Wenbin Zhu, Chien-Yi Wang, Kuan-Lun Tseng, Shang-Hong Lai, Baoyuan Wang
Leveraging the environment-specific local data after the deployment of the initial global model, LaFR aims at getting optimal performance by training local-adapted models automatically and un-supervisely, as opposed to fixing their initial global model.
no code implementations • CVPR 2022 • Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
Thanks to HyperFD, each local task (client) is able to effectively leverage the learning "experience" of previous tasks without uploading raw images to the platform; meanwhile, the meta-feature extractor is continuously learned to better trade off the bias and variance.
1 code implementation • CVPR 2022 • Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li
3D single object tracking (3D SOT) in LiDAR point clouds plays a crucial role in autonomous driving.
Ranked #1 on
Object Tracking
on KITTI
no code implementations • CVPR 2021 • Noranart Vesdapunt, Baoyuan Wang
Our confidence ranker is model-agnostic, so we can augment the data by choosing the pairs from multiple face detectors during the training, and generalize to a wide range of face detectors during the testing.
no code implementations • ECCV 2020 • Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang
Traditional methods for image-based 3D face reconstruction and facial motion retargeting fit a 3D morphable model (3DMM) to the face, which has limited modeling capacity and fail to generalize well to in-the-wild data.
no code implementations • ECCV 2020 • Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang
In this paper, we introduce a novel approach to learn a 3D face model using a joint-based face rig and a neural skinning network.
no code implementations • 2 Oct 2019 • Gaurav Mittal, Baoyuan Wang
All previous methods for audio-driven talking head generation assume the input audio to be clean with a neutral tone.
no code implementations • CVPR 2019 • Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang
Facial motion retargeting is an important problem in both computer graphics and vision, which involves capturing the performance of a human face and transferring it to another 3D character.
no code implementations • 20 Mar 2018 • Baoyuan Wang, Noranart Vesdapunt, Utkarsh Sinha, Lei Zhang
The system is designed to run in the viewfinder mode and capture a burst sequence of frames before and after the shutter is pressed.
no code implementations • 6 Mar 2018 • Huan Yang, Baoyuan Wang, Noranart Vesdapunt, Minyi Guo, Sing Bing Kang
We propose a reinforcement learning approach for real-time exposure control of a mobile camera that is personalizable.
no code implementations • 2 Nov 2017 • Bin Dai, Baoyuan Wang, Gang Hua
Selecting attractive photos from a human action shot sequence is quite challenging, because of the subjective nature of the "attractiveness", which is mainly a combined factor of human pose in action and the background.
1 code implementation • 27 Sep 2017 • Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin
Retouching can significantly elevate the visual appeal of photos, but many casual photographers lack the expertise to do this well.
no code implementations • ICCV 2017 • Tae-Hyun Oh, Kyungdon Joo, Neel Joshi, Baoyuan Wang, In So Kweon, Sing Bing Kang
Cinemagraphs are a compelling way to convey dynamic aspects of a scene.
1 code implementation • CVPR 2017 • Yuanming Hu, Baoyuan Wang, Stephen Lin
However, the patch-based CNNs that exist for this problem are faced with the issue of estimation ambiguity, where a patch may contain insufficient information to establish a unique or even a limited possible range of illumination colors.
no code implementations • ICCV 2015 • Huan Yang, Baoyuan Wang, Stephen Lin, David Wipf, Minyi Guo, Baining Guo
With the growing popularity of short-form video sharing platforms such as \em{Instagram} and \em{Vine}, there has been an increasing need for techniques that automatically extract highlights from video.
no code implementations • ICCV 2015 • Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu
Recent work on scene classification still makes use of generic CNN features in a rudimentary manner.
1 code implementation • 24 Dec 2014 • Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
Many photographic styles rely on subtle adjustments that depend on the image content and even its semantics.