activity
20172026
most citedThe 2017 Hands in the Million Challenge on 3D Hand Pose Estimation

49 citations · 135 across the 17 of their papers we have counts for

collaborators

22 papers

cs.CV2026

Putting Registers to Work: Task Registers for Token Pruning in Vision Transformers

Hongsen Cao, Mona Jaber, Shanxin Yuan +1

Token-pruning policies are usually designed for a single recognition pipeline, but pretrained Vision Transformers are reused across tasks with different spatial demands. We ask whi…

cs.CV2023★ 3 cited

Exploring Effective Mask Sampling Modeling for Neural Image Compression

Lin Liu, Mingming Zhao, Shanxin Yuan +5

Image compression aims to reduce the information redundancy in images. Most existing neural image compression methods rely on side information from hyperprior or context models to…

cs.CV2023

NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds

Chen Yang, Peihao Li, Zanwei Zhou +5

We present NeRFVS, a novel neural radiance fields (NeRF) based method to enable free navigation in a room. NeRF achieves impressive performance in rendering images for novel views…

cs.CV2023★ 35 cited

Graph Neural Networks in Vision-Language Image Understanding: A Survey

Henry Senior, Gregory Slabaugh, Shanxin Yuan +1

2D image understanding is a complex problem within computer vision, but it holds the key to providing human-level scene comprehension. It goes further than identifying the objects…

cs.CV2022★ 5 cited

Low-Light Video Enhancement with Synthetic Event Guidance

Lin Liu, Junfeng An, Jianzhuang Liu +6

Low-light video enhancement (LLVE) is an important yet challenging task with many applications such as photographing and autonomous driving. Unlike single image low-light enhanceme…

cs.CV2022

Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment

Xue Hu, Xinghui Li, Benjamin Busam +3

For visual manipulation tasks, we aim to represent image content with semantically meaningful features. However, learning implicit representations from images often lacks interpret…