research
∙
09/15/2023
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval
Person re-identification (re-ID) requires densely distributed cameras. I...
share
research
∙
06/20/2023
TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpainting
Image inpainting for completing complicated semantic environments and di...
research
∙
06/13/2023
Rethinking Adversarial Training with A Simple Baseline
We report competitive results on RobustBench for CIFAR and SVHN using a ...
research
∙
04/13/2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Certified defense methods against adversarial perturbations have been re...
research
∙
04/04/2023
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
Human evaluation is critical for validating the performance of text-to-i...
research
∙
02/23/2023
DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs
Close-up facial images captured at close distances often suffer from per...
research
∙
12/12/2022
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Adversarial attacks on thermal infrared imaging expose the risk of relat...
research
∙
11/14/2022
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning
Recent deep metric learning (DML) methods typically leverage solely clas...
research
∙
10/07/2022
Multiple Object Tracking from appearance by hierarchically clustering tracklets
Current approaches in Multiple Object Tracking (MOT) rely on the spatio-...
research
∙
09/30/2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Although Deep Neural Networks (DNNs) have achieved impressive results in...
research
∙
07/29/2022
Reference-Guided Texture and Structure Inference for Image Inpainting
Existing learning-based image inpainting methods are still in challenge ...
research
∙
06/17/2022
Improving Generalization of Metric Learning via Listwise Self-distillation
Most deep metric learning (DML) methods employ a strategy that forces al...
research
∙
06/10/2022
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion
Understanding foggy image sequence in the driving scenes is critical for...
research
∙
05/22/2022
Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval
The large variation of viewpoint and irrelevant content around the targe...
research
∙
04/03/2022
Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
Most computer vision systems assume distortion-free images as inputs. Th...
research
∙
03/28/2022
Optimal Correction Cost for Object Detection Evaluation
Mean Average Precision (mAP) is the primary evaluation measure for objec...
research
∙
10/29/2021
Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels
This paper focuses on camouflaged object detection (COD), which is a tas...
research
∙
05/11/2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Learning from implicit feedback is challenging because of the difficult ...
research
∙
01/19/2021
Density-Ratio Based Personalised Ranking from Implicit Feedback
Learning from implicit user feedback is challenging as we can only obser...
research
∙
12/15/2020
Image Inpainting Guided by Coherence Priors of Semantics and Textures
Existing inpainting methods have achieved promising performance in recov...
research
∙
11/10/2020
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
Solving cold-start problems is indispensable to provide meaningful recom...
research
∙
08/12/2020
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer
Unsupervised crowd counting is a challenging yet not largely explored ta...
research
∙
03/15/2020
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes
Completing a corrupted image with correct structures and reasonable text...
research
∙
01/12/2020
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
This work aims to identify/bridge the gap between Artificial Intelligenc...
research
∙
06/14/2019
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis
Leveraging large-scale healthy datasets, unsupervised learning can disco...
research
∙
05/24/2019
Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification
An effective and efficient person re-identification (ReID) algorithm wil...
research
∙
05/13/2019
Group Re-identification via Transferred Single and Couple Representation Learning
Group re-identification (G-ReID) is an important yet less-studied task. ...
research
∙
05/11/2019
Illumination-Adaptive Person Re-identification
Most person re-identification (ReID) approaches assume that person image...
research
∙
03/29/2019
Learning More with Less: GAN-based Medical Image Augmentation
Accurate computer-assisted diagnosis using Convolutional Neural Networks...
research
∙
02/26/2019
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images
Accurate computer-assisted diagnosis can alleviate the risk of overlooki...
research
∙
11/27/2018
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Diffusion is commonly used as a ranking or re-ranking method in retrieva...
research
∙
08/12/2018
Reconfigurable Inverted Index
Existing approximate nearest neighbor search systems suffer from two fun...
research
∙
07/02/2018
Harnessing AI for Speech Reconstruction using Multi-view Silent Video Feed
Speechreading or lipreading is the technique of understanding and gettin...
research
∙
07/02/2018
Speech Reconstitution using Multi-view Silent Videos
Speechreading broadly involves looking, perceiving, and interpreting spo...
research
∙
04/17/2018
Multimodal Co-Training for Selecting Good Examples from Webly Labeled Video
We tackle the problem of learning concept classifiers from videos on the...
research
∙
03/01/2018
Tracked Instance Search
In this work we propose tracking as a generic addition to the instance s...
research
∙
02/06/2018
Digital Watermarking for Deep Neural Networks
Although deep neural networks have made tremendous progress in the area ...
research
∙
12/27/2017
Consensus-based Sequence Training for Video Captioning
Captioning models are typically trained using the cross-entropy loss. Ho...
research
∙
11/27/2017
Query-Adaptive R-CNN for Open-Vocabulary Object Detection and Retrieval
We address the problem of open-vocabulary object retrieval and localizat...
research
∙
09/26/2017
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
This paper addresses the problem of joint detection and recounting of ab...
research
∙
09/26/2017
Region-Based Image Retrieval Revisited
Region-based image retrieval (RBIR) technique is revisited. In early att...
research
∙
01/15/2017
Embedding Watermarks into Deep Neural Networks
Deep neural networks have recently achieved significant progress. Sharin...
research
∙
10/20/2016
Adaptive Substring Extraction and Modified Local NBNN Scoring for Binary Feature-based Local Mobile Visual Search without False Positives
In this paper, we propose a stand-alone mobile visual search system base...
research
∙
09/27/2016