84 citations · 304 across the 24 of their papers we have counts for
16 papers · 1 filter
TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
Yuheng Shi, Zehao Huang, Yan Yan +2
Time-to-Contact (TTC) estimation is a critical task for assessing collision risk and is widely used in various driver assistance and autonomous driving systems. The past few decade…
Practical Edge Detection via Robust Collaborative Learning
Yuanbin Fu, Xiaojie Guo
Edge detection, as a core component in a wide range of visionoriented tasks, is to identify object boundaries and prominent edges in natural images. An edge detector is desired to…
Single Image Reflection Separation via Component Synergy
Qiming Hu, Xiaojie Guo
The reflection superposition phenomenon is complex and widely distributed in the real world, which derives various simplified linear and nonlinear formulations of the problem. In t…
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Xinhui Li, Mingjia Li, Yaxing Wang +2
Domain generalization in semantic segmentation aims to alleviate the performance degradation on unseen domains through learning domain-invariant features. Existing methods diversif…
Face Inverse Rendering via Hierarchical Decoupling
Meng Wang, Xiaojie Guo, Wenjing Dai +1
Previous face inverse rendering methods often require synthetic data with ground truth and/or professional equipment like a lighting stage. However, a model trained on synthetic da…
YOLOV: Making Still Image Object Detectors Great at Video Object Detection
Yuheng Shi, Naiyan Wang, Xiaojie Guo
Video object detection (VID) is challenging because of the high variation of object appearance as well as the diverse deterioration in some frames. On the positive side, the detect…
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation
Zhi Liu, Shaoyu Chen, Xiaojie Guo +6
In this work, we propose PolarBEV for vision-based uneven BEV representation learning. To adapt to the foreshortening effect of camera imaging, we rasterize the BEV space both angu…
Hierarchical Image Peeling: A Flexible Scale-space Filtering Framework
Fu Yuanbin, Guoxiaojie, Hu Qiming +3
The importance of hierarchical image organization has been witnessed by a wide spectrum of applications in computer vision and graphics. Different from image segmentation with the…
LaFIn: Generative Landmark Guided Face Inpainting
Yang Yang, Xiaojie Guo, Jiayi Ma +2
It is challenging to inpaint face images in the wild, due to the large variation of appearance, such as different poses, expressions and occlusions. A good inpainting algorithm sho…
EDIT: Exemplar-Domain Aware Image-to-Image Translation
Yuanbin Fu, Jiayi Ma, Lin Ma +1
Image-to-image translation is to convert an image of the certain style to another of the target style with the content preserved. A desired translator should be capable to generate…
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang, Jiawan Zhang, Xiaojie Guo
Images captured under low-light conditions often suffer from (partially) poor visibility. Besides unsatisfactory lightings, multiple types of degradations, such as noise and color…
PFLD: A Practical Facial Landmark Detector
Xiaojie Guo, Siyuan Li, Jinke Yu +5
Being accurate, efficient, and compact is essential to a facial landmark detector for practical use. To simultaneously consider the three concerns, this paper investigates a neat m…
Ensemble Soft-Margin Softmax Loss for Image Classification
Xiaobo Wang, Shifeng Zhang, Zhen Lei +3
Softmax loss is arguably one of the most popular losses to train CNN models for image classification. However, recent works have exposed its limitation on feature discriminability.…
Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
Siyuan LI, Wenqi Ren, Jiawan Zhang +2
Rain effect in images typically is annoying for many multimedia and computer vision tasks. For removing rain effect from a single image, deep leaning techniques have been attractin…
LIME: A Method for Low-light IMage Enhancement
Xiaojie Guo
When one captures images in low-light conditions, the images often suffer from low visibility. This poor quality may significantly degrade the performance of many computer vision a…
Visual Data Deblocking using Structural Layer Priors
Xiaojie Guo
The blocking artifact frequently appears in compressed real-world images or video sequences, especially coded at low bit rates, which is visually annoying and likely hurts the perf…