activity
20152023
most citedDeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

571 citations · 2.9k across the 98 of their papers we have counts for

collaborators
Showing 2020Show all

21 papers · 1 filter

cs.CV2020

Political Posters Identification with Appearance-Text Fusion

Xuan Qin, Meizhu Liu, Yifan Hu +5

In this paper, we propose a method that efficiently utilizes appearance features and text vectors to accurately classify political posters from other similar political images. The…

cs.CV2020★ 1 cited

Modeling Deep Learning Based Privacy Attacks on Physical Mail

Bingyao Huang, Ruyi Lian, Dimitris Samaras +1

Mail privacy protection aims to prevent unauthorized access to hidden content within an envelope since normal paper envelopes are not as safe as we think. In this paper, for the fi…

cs.CV2020★ 16 cited

SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers

Bingyao Huang, Haibin Ling

Light-based adversarial attacks use spatial augmented reality (SAR) techniques to fool image classifiers by altering the physical light condition with a controllable light source,…

cs.CV2020★ 3 cited

CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking

Heng Fan, Haibin Ling

High quality object proposals are crucial in visual tracking algorithms that utilize region proposal network (RPN). Refinement of these proposals, typically by box regression and c…

cs.CV2020★ 1 cited

Pushing the Envelope of Rotation Averaging for Visual SLAM

Xinyi Li, Lin Yuan, Longin Jan Latecki +1

As an essential part of structure from motion (SfM) and Simultaneous Localization and Mapping (SLAM) systems, motion averaging has been extensively studied in the past years and co…

cs.CV2020★ 1 cited

GMOT-40: A Benchmark for Generic Multiple Object Tracking

Hexin Bai, Wensheng Cheng, Peng Chu +3

Multiple Object Tracking (MOT) has witnessed remarkable advances in recent years. However, existing studies dominantly request prior knowledge of the tracking target, and hence may…

cs.CV2020★ 1 cited

Transparent Object Tracking Benchmark

Heng Fan, Halady Akhilesha Miththanthaya, Harshit +5

Visual tracking has achieved considerable progress in recent years. However, current research in the field mainly focuses on tracking of opaque objects, while little attention is p…

cs.CV2020★ 14 cited

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark

Heng Fan, Hexin Bai, Liting Lin +11

Despite great recent advances in visual tracking, its further development, including both algorithm design and evaluation, is limited due to lack of dedicated large-scale benchmark…

cs.CV2020★ 13 cited

Feature Space Augmentation for Long-Tailed Data

Peng Chu, Xiao Bian, Shaopeng Liu +1

Real-world data often follow a long-tailed distribution as the frequency of each class is typically different. For example, a dataset can have a large number of under-represented c…

cs.CV2020★ 33 cited

End-to-end Full Projector Compensation

Bingyao Huang, Tao Sun, Haibin Ling

Full projector compensation aims to modify a projector input image to compensate for both geometric and photometric disturbance of the projection surface. Traditional methods usual…

cs.CV2020★ 11 cited

Recurrent Exposure Generation for Low-Light Face Detection

Jinxiu Liang, Jingwen Wang, Yuhui Quan +4

Face detection from low-light images is challenging due to limited photos and inevitable noise, which, to make the task even harder, are often spatially unevenly distributed. A nat…

cs.CV2020★ 7 cited

Cross-Modal Weighting Network for RGB-D Salient Object Detection

Gongyang Li, Zhi Liu, Linwei Ye +2

Depth maps contain geometric clues for assisting Salient Object Detection (SOD). In this paper, we propose a novel Cross-Modal Weighting (CMW) strategy to encourage comprehensive i…

eess.IV2020★ 16 cited

Deep Bilateral Retinex for Low-Light Image Enhancement

Jinxiu Liang, Yong Xu, Yuhui Quan +3

Low-light images, i.e. the images captured in low-light conditions, suffer from very poor visibility caused by low contrast, color distortion and significant measurement noise. Low…

cs.CV2020

GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling

Zhuoying Wang, Yongtao Wang, Zhi Tang +4

Existing CNN-based methods for pixel labeling heavily depend on multi-scale features to meet the requirements of both semantic comprehension and detail preservation. State-of-the-a…

physics.comp-ph2020

Graph Neural Network for Hamiltonian-Based Material Property Prediction

Hexin Bai, Peng Chu, Jeng-Yuan Tsai +4

Development of next-generation electronic devices for applications call for the discovery of quantum materials hosting novel electronic, magnetic, and topological properties. Tradi…

cs.CV2020★ 8 cited

Cascaded Human-Object Interaction Recognition

Tianfei Zhou, Wenguan Wang, Siyuan Qi +2

Rapid progress has been witnessed for human-object interaction (HOI) recognition, but most existing models are confined to single-stage reasoning pipelines. Considering the intrins…

cs.CV2020

TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge

Junyi Feng, Songyuan Li, Xi Li +4

Real-time semantic video segmentation is a challenging task due to the strict requirements of inference speed. Recent approaches mainly devote great efforts to reducing the model s…

cs.CV2020★ 30 cited

DeProCams: Simultaneous Relighting, Compensation and Shape Reconstruction for Projector-Camera Systems

Bingyao Huang, Haibin Ling

Image-based relighting, projector compensation and depth/normal reconstruction are three important tasks of projector-camera systems (ProCams) and spatial augmented reality (SAR).…

cs.CV2020★ 209 cited

Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification

Yifeng Ding, Shaoguo Wen, Jiyang Xie +4

Classifying the sub-categories of an object from the same super-category (e.g. bird species, car and aircraft models) in fine-grained visual classification (FGVC) highly relies on…

cs.CV2020

Human-Aware Motion Deblurring

Ziyi Shen, Wenguan Wang, Xiankai Lu +4

This paper proposes a human-aware deblurring model that disentangles the motion blur between foreground (FG) humans and background (BG). The proposed model is based on a triple-bra…

cs.CV2020★ 14 cited

Detection and Tracking Meet Drones Challenge

Pengfei Zhu, Longyin Wen, Dawei Du +4

Drones, or general UAVs, equipped with cameras have been fast deployed with a wide range of applications, including agriculture, aerial photography, and surveillance. Consequently,…