Zhonglong Zheng

9 papers · 2021–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18) ⚡ Prolific Year · Productive

Venues

AAAI (6) CVPR (1) ICML (1) IJCAI (1)

Top co-authors

Dawei Zhang (4) Hua Wang (3) Changqin Huang (3) Sang-Woon Jeon (3) Wei Liu (3) Zhiwei Ning (2) Xiangqi Chen (2) Xuanang Gao (2) Ming Li (2) jie Yang (2)

Research topics

Computer Vision (7) Deep Learning (6) Analysis (6) Machine Learning (5) Architectures (5) Application Areas (3) Learning Types · Machine Learning (3) Artificial Intelligence (1) Reinforcement Learning (1) Core AI (1) Core Methods (1) Domain-Specific (1) Learning Types · Deep Learning (1) Methods (1) Models (1)

Keywords

visual object tracking (3) depth estimation (3) self-supervised learning (2) out-of-distribution detection (2) siamese network (2) hash encoding (1) real-time tracking (1) feature extraction (1) probabilistic tracking (1) uncertainty estimation (1) hierarchical reinforcement learning (1) visual tracking (1) modality alignment (1) spectral decomposition (1) state space model (1) dynamic scene (1) energy-based model (1) object tracking (1) object detection (1) contrastive learning (1)

Papers

AdaDepth: Exploiting Inherent Scene Information for Self-Supervised Depth Estimation in Dynamic Scenes AAAI 2026 Exploiting All Mamba Fusion for Efficient RGB-D Tracking AAAI 2026 HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs AAAI 2026 IGIANet: Illumination Guided Implicit Alignment Network for Infrared–Visible UAV Detection AAAI 2026 Neural Outline Cache for Real-time Anti-aliasing Font Rendering AAAI 2026 RoSAMDepth: Robust Self-supervised Depth Estimation Leveraging Segment Anything Model CVPR 2026 All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning IJCAI 2025 UAST: Uncertainty-Aware Siamese Tracking ICML 2022 Visual Tracking via Hierarchical Deep Reinforcement Learning AAAI 2021