activity
20182023
most citedLearning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

270 citations · 539 across the 38 of their papers we have counts for

collaborators

46 papers

cs.CY20226 cited

When Digital Economy Meets Web3.0: Applications and Challenges

Chuan Chen, Lei Zhang, Yihao Li +5

With the continuous development of web technology, Web3.0 has attracted a considerable amount of attention due to its unique decentralized characteristics. The digital economy is a…

cs.CV20222 cited

Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective

Ming Liu, Jianan Pan, Zifei Yan +2

Recently, multiple synthetic and real-world datasets have been built to facilitate the training of deep single image reflection removal (SIRR) models. Meanwhile, diverse testing se…

cs.CV202212 cited

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds

Chenhang He, Ruihuang Li, Shuai Li +1

Transformer has demonstrated promising performance in many 2D vision tasks. However, it is cumbersome to compute the self-attention on large-scale point cloud data because point cl…

cs.CV20221 cited

Towards Robust 2D Convolution for Reliable Visual Recognition

Lida Li, Shuai Li, Kun Wang +2

2D convolution (Conv2d), which is responsible for extracting features from the input image, is one of the key modules of a convolutional neural network (CNN). However, Conv2d is vu…

cs.CV2022

Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition

Tao Yang, Peiran Ren, Xuansong Xie +2

Video frame interpolation (VFI) aims to improve the temporal resolution of a video sequence. Most of the existing deep learning based VFI methods adopt off-the-shelf optical flow a…

cs.CV20221 cited

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation

Ruihuang Li, Shuai Li, Chenhang He +3

Domain adaptive semantic segmentation aims to learn a model with the supervision of source domain data, and produce satisfactory dense predictions on unlabeled target domain. One p…