Search Results for author: Hai Ci

Found 9 papers, 3 papers with code

Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL

no code implementations15 Apr 2024 Fangwei Zhong, Kui Wu, Hai Ci, Churan Wang, Hao Chen

We evaluate our tracker on several high-fidelity environments with challenging situations, such as distraction and occlusion.

Offline RL Q-Learning +2

Efficient Action Counting with Dynamic Queries

1 code implementation3 Mar 2024 Zishi Li, Xiaoxuan Ma, Qiuyan Shang, Wentao Zhu, Hai Ci, Yu Qiao, Yizhou Wang

Temporal repetition counting aims to quantify the repeated action cycles within a video.

Contrastive Learning

Human Motion Generation: A Survey

no code implementations20 Jul 2023 Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang

In this survey, we present a comprehensive literature review of human motion generation, which, to the best of our knowledge, is the first of its kind in this field.

Proactive Multi-Camera Collaboration For 3D Human Pose Estimation

no code implementations7 Mar 2023 Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang

This paper presents a multi-agent reinforcement learning (MARL) scheme for proactive Multi-Camera Collaboration in 3D Human Pose Estimation in dynamic human crowds.

3D Human Pose Estimation 3D Reconstruction +1

GFPose: Learning 3D Human Pose Prior with Gradient Fields

1 code implementation CVPR 2023 Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, Yizhou Wang

During the denoising process, GFPose implicitly incorporates pose priors in gradients and unifies various discriminative and generative tasks in an elegant framework.

Denoising Monocular 3D Human Pose Estimation +1

Context Modeling in 3D Human Pose Estimation: A Unified Perspective

1 code implementation CVPR 2021 Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Hai Ci, Yizhou Wang

By comparing the two methods, we found that the end-to-end training scheme in GNN and the limb length constraints in PSM are two complementary factors to improve results.

3D Human Pose Estimation

Video Object Segmentation by Learning Location-Sensitive Embeddings

no code implementations ECCV 2018 Hai Ci, Chunyu Wang, Yizhou Wang

We address the problem of video object segmentation which outputs the masks of a target object throughout a video given only a bounding box in the first frame.

Object Semantic Segmentation +2

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