Decision-focused learning (DFL) is an emerging paradigm that integrates machine learning
(ML) and constrained optimization to enhance decision quality by training ML models in an …

Image colorization, as an essential problem in computer vision (CV), has attracted an
increasing amount of researchers attention in recent years, especially deep learning-based …

Recent studies have shown promising results on utilizing large pre-trained image-language
models for video question answering. While these image-language models can efficiently …

Dynamic neural network is an emerging research topic in deep learning. Compared to static
models which have fixed computational graphs and parameters at the inference stage …

Text-Video retrieval is a task of great practical value and has received increasing attention,
among which learning spatial-temporal video representation is one of the research hotspots …

Facial Expression Recognition (FER) in the wild is an extremely challenging task. Recently,
some Vision Transformers (ViT) have been explored for FER, but most of them perform …

Video transformers have achieved impressive results on major video recognition
benchmarks, which however suffer from high computational cost. In this paper, we present …

Short-form UGC video platforms like Kwai and TikTok have been an emerging and
irreplaceable mainstream media form thriving on user-friendly engagement and …

Deep learning (DL) has become one of the major approaches in computational
dermatopathology, evidenced by a significant increase in this topic in the current literature …

Abstract Multiple Instance Learning (MIL) methods have become increasingly popular for
classifying gigapixel-sized Whole-Slide Images (WSIs) in digital pathology. Most MIL …