Yongqiang Zhang

13 papers · 2017–2026 · 5 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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🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze

🧬 Topic Evolution 🧭 Keyword Pioneer 🚀 Conference Pioneer 🗃️ Keyword Collector (57) 💎 Century Club · Bronze

Venues

CVPR (5) AAAI (4) ECCV (2) ICCV (1) NeurIPS (1)

Top co-authors

Mingli Ding (7) NA DONG (3) Gim Hee Lee (3) Changjie Fan (3) ZHIPENG HU (3) Yancheng Bai (3) Lincheng Li (3) Bernard Ghanem (3) Yin Zhang (2) Xin Yu (2)

Research topics

Computer Vision (9) Machine Learning (9) Analysis (9) Deep Learning (6) Application Areas (4) Learning Types · Deep Learning (4) Learning Types · Machine Learning (4) Core Methods (3) Models (3) Artificial Intelligence (2) Learning Paradigms (2) Mathematics & Optimization (1) Architectures (1) Generation (1) Optimization (1)

Keywords

object detection (4) knowledge distillation (3) incremental learning (2) domain adaptation (2) image restoration (2) self-supervised learning (2) knowledge transfer (1) domain generalization (1) semantic segmentation (1) sparse representation (1) face detection (1) subspace learning (1) few-shot learning (1) matrix factorization (1) weakly supervised learning (1) robust regression (1) catastrophic forgetting (1) neural rendering (1) tensor decomposition (1) volume rendering (1)

Papers

Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation AAAI 2026 Tensor Decomposition and Language Description for Open-Vocabulary Object Detection AAAI 2026 CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance ECCV 2024 ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection AAAI 2024 Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data ICCV 2023 Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning AAAI 2023 NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination CVPR 2023 Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors CVPR 2023 Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection NeurIPS 2021 Finding Tiny Faces in the Wild With Generative Adversarial Network CVPR 2018 SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network ECCV 2018 W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection CVPR 2018 Low-Rank-Sparse Subspace Representation for Robust Regression CVPR 2017