4 citations · 7 across the 4 of their papers we have counts for
5 papers
Distilling Counterfactual Reasoning from Language to Vision: Causal Graph Guided Post-Training for Video Understanding
Yuefei Chen, Jiang Liu, Xiaodong Lin +1
Vision Language Models (VLMs) have recently shown significant advancements in video understanding, especially in feature alignment, event reasoning, and instruction-following tasks…
Spatial-context-aware deep neural network for multi-class image classification
Jialu Zhang, Qian Zhang, Jianfeng Ren +2
Multi-label image classification is a fundamental but challenging task in computer vision. Over the past few decades, solutions exploring relationships between semantic labels have…
Lossless Attention in Convolutional Networks for Facial Expression Recognition in the Wild
Chuang Wang, Ruimin Hu, Min Hu +5
Unlike the constraint frontal face condition, faces in the wild have various unconstrained interference factors, such as complex illumination, changing perspective and various occl…
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
Jiang Liu, Chenqiang Gao, Deyu Meng +1
In real-world crowd counting applications, the crowd densities vary greatly in spatial and temporal domains. A detection based counting method will estimate crowds accurately in lo…
A novel learning-based frame pooling method for Event Detection
Lan Wang, Chenqiang Gao, Jiang Liu +1
Detecting complex events in a large video collection crawled from video websites is a challenging task. When applying directly good image-based feature representation, e.g., HOG, S…