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09/01/2023
PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer
Polymer simulation with both accuracy and efficiency is a challenging ta...
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04/05/2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Computer-assisted automatic analysis of diabetic retinopathy (DR) is of ...
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01/22/2023
Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision
In this paper, we consider the problem of open-vocabulary semantic segme...
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11/26/2022
Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classifcation
This paper presents our solution for the 2nd COVID-19 Severity Detection...
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11/26/2022
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
This paper presents our solution for the 2nd COVID-19 Competition, occur...
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11/26/2022
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-feld Fundus Images
Automatic diabetic retinopathy (DR) grading based on fundus photography ...
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11/25/2022
End-to-End Stochastic Optimization with Energy-Based Model
Decision-focused learning (DFL) was recently proposed for stochastic opt...
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10/02/2022
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images
The ultra-wide optical coherence tomography angiography (OCTA) has becom...
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07/12/2022
Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection
Weakly-supervised audio-visual violence detection aims to distinguish sn...
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07/12/2022
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training
Vision-Language Pre-training (VLP) with large-scale image-text pairs has...
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07/07/2022
Self-Supervised Learning of Music-Dance Representation through Explicit-Implicit Rhythm Synchronization
Although audio-visual representation has been proved to be applicable in...
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07/05/2022
FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis
This paper presents our solution for the 2nd COVID-19 Competition, occur...
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06/21/2022
Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation
It has been found that temporal action proposal generation, which aims t...
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04/10/2022
Self-Supervised Video Representation Learning with Motion-Contrastive Perception
Visual-only self-supervised learning has achieved significant improvemen...
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04/08/2022
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
User sessions empower many search and recommendation tasks on a daily ba...
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12/13/2021
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Multi-label learning in the presence of missing labels (MLML) is a chall...
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11/24/2021
MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video Parsing
Recognizing and localizing events in videos is a fundamental task for vi...
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04/07/2021
MPN: Multimodal Parallel Network for Audio-Visual Event Localization
Audio-visual event localization aims to localize an event that is both a...
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10/21/2020
Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction
We study the problem of event extraction from text data, which requires ...
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10/05/2020
Transformer-Based Neural Text Generation with Syntactic Guidance
We study the problem of using (partial) constituency parse trees as synt...
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09/02/2020
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method
Infrared and visible image fusion, as a hot topic in image processing an...
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08/13/2020
Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation Learning
When watching videos, the occurrence of a visual event is often accompan...
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07/19/2020
Learning Error-Driven Curriculum for Crowd Counting
Density regression has been widely employed in crowd counting. However, ...
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04/30/2019
Learning Fair Representations via an Adversarial Framework
Fairness has become a central issue for our research community as classi...
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11/29/2017
