1.9k citations · 3k across the 38 of their papers we have counts for
8 papers · 1 filter
Learning Disentangled Label Representations for Multi-label Classification
Jian Jia, Fei He, Naiyu Gao +2
Although various methods have been proposed for multi-label classification, most approaches still follow the feature learning mechanism of the single-label (multi-class) classifica…
QueryProp: Object Query Propagation for High-Performance Video Object Detection
Fei He, Naiyu Gao, Jian Jia +2
Video object detection has been an important yet challenging topic in computer vision. Traditional methods mainly focus on designing the image-level or box-level feature propagatio…
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
Hao Chen, Guangkai Yang, Junge Zhang +2
In recent years, reinforcement learning has faced several challenges in the multi-agent domain, such as the credit assignment issue. Value function factorization emerges as a promi…
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation
Naiyu Gao, Fei He, Jian Jia +4
This paper presents a unified framework for depth-aware panoptic segmentation (DPS), which aims to reconstruct 3D scene with instance-level semantics from one single image. Prior w…
SOTVerse: A User-defined Task Space of Single Object Tracking
Shiyu Hu, Xin Zhao, Kaiqi Huang
Single object tracking (SOT) research falls into a cycle -- trackers perform well on most benchmarks but quickly fail in challenging scenarios, causing researchers to doubt the ins…
Split Semantic Detection in Sandplay Images
Xiaokun Feng, Xiaotang Chen, Jian Jia +1
Sandplay image, as an important psychoanalysis carrier, is a visual scene constructed by the client selecting and placing sand objects (e.g., sand, river, human figures, animals, v…
Global Instance Tracking: Locating Target More Like Humans
Shiyu Hu, Xin Zhao, Lianghua Huang +1
Target tracking, the essential ability of the human visual system, has been simulated by computer vision tasks. However, existing trackers perform well in austere experimental envi…
DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games
Qibin Zhou, Dongdong Bai, Junge Zhang +2
An imperfect-information game is a type of game with asymmetric information. It is more common in life than perfect-information game. Artificial intelligence (AI) in imperfect-info…