116 citations · 496 across the 48 of their papers we have counts for
14 papers · 1 filter
ProGraph: Temporally-alignable Probability Guided Graph Topological Modeling for 3D Human Reconstruction
Hongsheng Wang, Zehui Feng, Tong Xiao +4
Current 3D human motion reconstruction methods from monocular videos rely on features within the current reconstruction window, leading to distortion and deformations in the human…
MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video
Hongsheng Wang, Xiang Cai, Xi Sun +5
Single-view clothed human reconstruction holds a central position in virtual reality applications, especially in contexts involving intricate human motions. It presents notable cha…
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery
Hongsheng Wang, Weiyue Zhang, Sihao Liu +6
Although 3D Gaussian Splatting (3DGS) has recently made progress in 3D human reconstruction, it primarily relies on 2D pixel-level supervision, overlooking the geometric complexity…
NieR: Normal-Based Lighting Scene Rendering
Hongsheng Wang, Yang Wang, Yalan Liu +4
In real-world road scenes, diverse material properties lead to complex light reflection phenomena, making accurate color reproduction crucial for enhancing the realism and safety o…
RemoCap: Disentangled Representation Learning for Motion Capture
Hongsheng Wang, Lizao Zhang, Zhangnan Zhong +6
Reconstructing 3D human bodies from realistic motion sequences remains a challenge due to pervasive and complex occlusions. Current methods struggle to capture the dynamics of occl…
NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction
Hongsheng Wang, Nanjie Yao, Xinrui Zhou +4
In the animation industry, 3D modelers typically rely on front and back non-overlapped concept designs to guide the 3D modeling of anime characters. However, there is currently a l…
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting
Hongyun Yu, Zhan Qu, Qihang Yu +8
Recent works on audio-driven talking head synthesis using Neural Radiance Fields (NeRF) have achieved impressive results. However, due to inadequate pose and expression control cau…
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos
Juncheng Li, Junlin Xie, Linchao Zhu +8
Understanding human emotions is a crucial ability for intelligent robots to provide better human-robot interactions. The existing works are limited to trimmed video-level emotion c…
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding
Mengze Li, Tianbao Wang, Haoyu Zhang +9
Natural language spatial video grounding aims to detect the relevant objects in video frames with descriptive sentences as the query. In spite of the great advances, most existing…
A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation
Dongqi Wang, Shengyu Zhang, Zhipeng Di +3
Network pruning and knowledge distillation are two widely-known model compression methods that efficiently reduce computation cost and model size. A common problem in both pruning…
Modeling High-order Interactions across Multi-interests for Micro-video Recommendation
Dong Yao, Shengyu Zhang, Zhou Zhao +4
Personalized recommendation system has become pervasive in various video platform. Many effective methods have been proposed, but most of them didn't capture the user's multi-level…
DeVLBert: Learning Deconfounded Visio-Linguistic Representations
Shengyu Zhang, Tan Jiang, Tan Wang +6
In this paper, we propose to investigate the problem of out-of-domain visio-linguistic pretraining, where the pretraining data distribution differs from that of downstream data on…
Poet: Product-oriented Video Captioner for E-commerce
Shengyu Zhang, Ziqi Tan, Jin Yu +6
In e-commerce, a growing number of user-generated videos are used for product promotion. How to generate video descriptions that narrate the user-preferred product characteristics…
Comprehensive Information Integration Modeling Framework for Video Titling
Shengyu Zhang, Ziqi Tan, Jin Yu +6
In e-commerce, consumer-generated videos, which in general deliver consumers' individual preferences for the different aspects of certain products, are massive in volume. To recomm…