2 citations · 8 across the 14 of their papers we have counts for
14 papers
PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention
Ziwen Li, Xin Wang, Hanlue Zhang +8
The Vision-Language-Action (VLA) models have demonstrated remarkable performance on embodied tasks and shown promising potential for real-world applications. However, current VLAs…
SliceSemOcc: Vertical Slice Based Multimodal 3D Semantic Occupancy Representation
Han Huang, Han Sun, Ningzhong Liu +2
Driven by autonomous driving's demands for precise 3D perception, 3D semantic occupancy prediction has become a pivotal research topic. Unlike bird's-eye-view (BEV) methods, which…
Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation
Dongxin Lyu, Han Huang, Cheng Tan +1
Monocular 3D lane detection is challenging due to the difficulty in capturing depth information from single-camera images. A common strategy involves transforming front-view (FV) i…
ICE-G: Image Conditional Editing of 3D Gaussian Splats
Vishnu Jaganathan, Hannah Hanyun Huang, Muhammad Zubair Irshad +3
Recently many techniques have emerged to create high quality 3D assets and scenes. When it comes to editing of these objects, however, existing approaches are either slow, compromi…
CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition
Hongwen Zhang, Siyou Lin, Ruizhi Shao +5
Creating animatable avatars from static scans requires the modeling of clothing deformations in different poses. Existing learning-based methods typically add pose-dependent deform…
Privileged Prior Information Distillation for Image Matting
Cheng Lyu, Jiake Xie, Bo Xu +6
Performance of trimap-free image matting methods is limited when trying to decouple the deterministic and undetermined regions, especially in the scenes where foregrounds are seman…
UnconFuse: Avatar Reconstruction from Unconstrained Images
Han Huang, Liliang Chen, Xihao Wang
The report proposes an effective solution about 3D human body reconstruction from multiple unconstrained frames for ECCV 2022 WCPA Challenge: From Face, Body and Fashion to 3D Virt…
CrossHuman: Learning Cross-Guidance from Multi-Frame Images for Human Reconstruction
Liliang Chen, Jiaqi Li, Han Huang +1
We propose CrossHuman, a novel method that learns cross-guidance from parametric human model and multi-frame RGB images to achieve high-quality 3D human reconstruction. To recover…
Situational Perception Guided Image Matting
Bo Xu, Jiake Xie, Han Huang +4
Most automatic matting methods try to separate the salient foreground from the background. However, the insufficient quantity and subjective bias of the current existing matting da…
Structured Local Radiance Fields for Human Avatar Modeling
Zerong Zheng, Han Huang, Tao Yu +3
It is extremely challenging to create an animatable clothed human avatar from RGB videos, especially for loose clothes due to the difficulties in motion modeling. To address this p…
Semantic Distillation Guided Salient Object Detection
Bo Xu, Guanze Liu, Han Huang +2
Most existing CNN-based salient object detection methods can identify local segmentation details like hair and animal fur, but often misinterpret the real saliency due to the lack…
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
Ziwen Li, Bo Xu, Han Huang +2
Several video-based 3D pose and shape estimation algorithms have been proposed to resolve the temporal inconsistency of single-image-based methods. However it still remains challen…
Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction
Bo Xu, Han Huang, Cheng Lu +2
Most existing human matting algorithms tried to separate pure human-only foreground from the background. In this paper, we propose a Virtual Multi-modality Foreground Matting (VMFM…
Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild
Zhecan Wang, Jian Zhao, Cheng Lu +4
Unconstrained remote gaze estimation remains challenging mostly due to its vulnerability to the large variability in head-pose. Prior solutions struggle to maintain reliable accura…