62 citations · 66 across the 6 of their papers we have counts for
6 papers
Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown
Zimeng Fang, Chao Liang, Xue Zhou +2
Multi-object tracking (MOT) emerges as a pivotal and highly promising branch in the field of computer vision. Classical closed-vocabulary MOT (CV-MOT) methods aim to track objects…
CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition
Huanzhang Dou, Pengyi Zhang, Yuhan Zhao +2
Gait recognition, which aims at identifying individuals by their walking patterns, has achieved great success based on silhouette. The binary silhouette sequence encodes the walkin…
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
Jiajie Su, Chaochao Chen, Zibin Lin +3
Sequential Recommendation (SR) captures users' dynamic preferences by modeling how users transit among items. However, SR models that utilize only single type of behavior interacti…
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
Longrong Yang, Xianpan Zhou, Xuewei Li +5
Knowledge distillation (KD) has shown potential for learning compact models in dense object detection. However, the commonly used softmax-based distillation ignores the absolute cl…
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
Xuewei Li, Tao Wu, Zhongang Qi +3
As an important and challenging problem in computer vision, PAnoramic Semantic Segmentation (PASS) gives complete scene perception based on an ultra-wide angle of view. Usually, pr…
ResKD: Residual-Guided Knowledge Distillation
Xuewei Li, Songyuan Li, Bourahla Omar +2
Knowledge distillation, aimed at transferring the knowledge from a heavy teacher network to a lightweight student network, has emerged as a promising technique for compressing neur…