Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Closed captioning, Benchmark (surveying), Natural language processing, and Computer vision.
RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis
Retrieval-Augmented Egocentric Video Captioning
Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision
Large Language Models are Complex Table Parsers
MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video Parsing
Modality-aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
Balanced single-shot object detection using cross-context attention-guided network
Stacked Multimodal Attention Network for Context-Aware Video Captioning
Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network
Re-Caption: Saliency-Enhanced Image Captioning Through Two-Phase Learning
Integrated Ant Colony and Tabu Search approach for time dependent vehicle routing problems with simultaneous pickup and delivery