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09/05/2023
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples
Referring video object segmentation (RVOS), as a supervised learning tas...
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08/22/2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Pre-trained vision-language models, e.g., CLIP, working with manually de...
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08/17/2023
Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection
By integrating complementary information from RGB image and depth map, t...
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07/31/2023
Transferable Decoding with Visual Entities for Zero-Shot Image Captioning
Image-to-text generation aims to describe images using natural language....
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07/26/2023
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
Vision-language pre-training (VLP) models have shown vulnerability to ad...
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07/26/2023
EasyNet: An Easy Network for 3D Industrial Anomaly Detection
3D anomaly detection is an emerging and vital computer vision task in in...
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07/10/2023
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment
The problem of how to assess cross-modality medical image synthesis has ...
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07/07/2023
LaunchpadGPT: Language Model as Music Visualization Designer on Launchpad
Launchpad is a musical instrument that allows users to create and perfor...
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06/17/2023
LLMVA-GEBC: Large Language Model with Video Adapter for Generic Event Boundary Captioning
Our winning entry for the CVPR 2023 Generic Event Boundary Captioning (G...
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06/02/2023
Extremely large-scale Array Systems: Near-Filed Codebook Design and Performance Analysis
Extremely large-scale Array (ELAA) promises to deliver ultra-high data r...
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05/17/2023
CageViT: Convolutional Activation Guided Efficient Vision Transformer
Recently, Transformers have emerged as the go-to architecture for both v...
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04/24/2023
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems?
Decentralized minimax optimization has been actively studied in the past...
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04/06/2023
What makes a good data augmentation for few-shot unsupervised image anomaly detection?
Data augmentation is a promising technique for unsupervised anomaly dete...
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03/24/2023
Accelerating Vision-Language Pretraining with Free Language Modeling
The state of the arts in vision-language pretraining (VLP) achieves exem...
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03/22/2023
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline
Existing audio-visual event localization (AVE) handles manually trimmed ...
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03/11/2023
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
Joint video-language learning has received increasing attention in recen...
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02/20/2023
On the Stability and Generalization of Triplet Learning
Triplet learning, i.e. learning from triplet data, has attracted much at...
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01/31/2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Image anomaly detection (IAD) is an emerging and vital computer vision t...
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01/28/2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
In the area of fewshot anomaly detection (FSAD), efficient visual featur...
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01/27/2023
Deep Industrial Image Anomaly Detection: A Survey
The recent rapid development of deep learning has laid a milestone in in...
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10/09/2022
Does Thermal Really Always Matter for RGB-T Salient Object Detection?
In recent years, RGB-T salient object detection (SOD) has attracted cont...
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09/26/2022
Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval
Hashing that projects data into binary codes has shown extraordinary tal...
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09/25/2022
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
Advertisement video editing aims to automatically edit advertising video...
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09/23/2022
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network
Existing methods for video-based person re-identification (ReID) mainly ...
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08/01/2022
S^2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
Despite the recent efforts in accurate 3D annotations in hand and object...
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07/13/2022
Subband-based Generative Adversarial Network for Non-parallel Many-to-many Voice Conversion
Voice conversion is to generate a new speech with the source content and...
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07/03/2022
Exploiting Context Information for Generic Event Boundary Captioning
Generic Event Boundary Captioning (GEBC) aims to generate three sentence...
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06/17/2022
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Existing vision-language pre-training (VLP) methods primarily rely on pa...
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04/25/2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Invariance to diverse types of image corruption, such as noise, blurring...
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04/13/2022
Semantic-Aware Pretraining for Dense Video Captioning
This report describes the details of our approach for the event dense-ca...
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03/21/2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
Modeling latent variables with priors and hyperpriors is an essential pr...
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03/09/2022
Error-based Knockoffs Inference for Controlled Feature Selection
Recently, the scheme of model-X knockoffs was proposed as a promising so...
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03/08/2022
Skating-Mixer: Multimodal MLP for Scoring Figure Skating
Figure skating scoring is a challenging task because it requires judging...
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03/04/2022
Class-Aware Contrastive Semi-Supervised Learning
Pseudo-label-based semi-supervised learning (SSL) has achieved great suc...
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02/14/2022
A Survey of Visual Sensory Anomaly Detection
Visual sensory anomaly detection (AD) is an essential problem in compute...
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02/14/2022
A Survey of Cross-Modality Brain Image Synthesis
The existence of completely aligned and paired multi-modal neuroimaging ...
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01/29/2022
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss
The existence of completely aligned and paired multi-modal neuroimaging ...
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01/22/2022
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis
Utilizing the paired multi-modal neuroimaging data has been proved to be...
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12/28/2021
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Semi-supervised learning is a challenging problem which aims to construc...
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11/01/2021
Benchmarks for Corruption Invariant Person Re-identification
When deploying person re-identification (ReID) model in safety-critical ...
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08/31/2021
DepthTrack : Unveiling the Power of RGBD Tracking
RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensor...
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08/30/2021
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
Annotation burden has become one of the biggest barriers to semantic seg...
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08/17/2021
End-to-End Dense Video Captioning with Parallel Decoding
Dense video captioning aims to generate multiple associated captions wit...
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08/13/2021
An Information-theoretic Perspective of Hierarchical Clustering
A combinatorial cost function for hierarchical clustering was introduced...
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08/08/2021
Saliency-Associated Object Tracking
Most existing trackers based on deep learning perform tracking in a holi...
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07/29/2021
FREE: Feature Refinement for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) has achieved significant progress,...
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07/07/2021
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
Compared with tedious per-pixel mask annotating, it is much easier to an...
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06/29/2021
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
Semi-supervised learning is a challenging problem which aims to construc...
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03/22/2021
Brain Image Synthesis with Unsupervised Multivariate Canonical CSCℓ_4Net
Recent advances in neuroscience have highlighted the effectiveness of mu...
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02/28/2021