​

陈俊杰

江西财经大学计算机与人工智能学院讲师

2014-2018：四川大学，工学学士。
2018-2023：上海交通大学，工学博士。

联系方式：chen.bys@outlook.com

研究方向：VLM多模态学习、计算机视觉、低空视觉、主动视觉、姿态估计、分割检测分类。

主要论文列表

一作：

[1]. CVPR 2026, Learning and Aligning Click-Aware Shape Prior for Interactive Amodal Instance Segmentation.

[2]. CVPR 2026 Findings, Learning to Propose Pose for Category-Agnostic Objects via Joint Refinement with Co-Matching Supervision.

[3]. NeurIPS 2025, Weak-shot Pose Estimation via Keyness and Correspondence Transfer.

[4]. CVPR 2025, Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation.

[5]. IEEE TIP 2025, Webly Supervised Fine-Grained Classification by Integrally Tackling Noises and Subtle Differences.

[6]. 中国计算机学报 2025, 基于类别共享与独有信息双向融合的多类别姿态估计.

[7]. CVPR 2024, Meta-Point Learning and Refining for Category-Agnostic Pose Estimation.

[8]. NeurIPS 2022, Weak-shot Semantic Segmentation via Dual Similarity Transfer.

[9]. NeurIPS 2021, Weak-shot fine-grained classification via similarity transfer.

[10]. IEEE TIP 2021, Depth Privileged Scene Recognition via Dual Attention Hallucination.

[11]. AAAI 2023, Amodal Instance Segmentation via Prior-guided Expansion. 

通讯：

[1]. AAAI 2026, Infrared-Privileged UAV Detection via Cross-Modal Vector-Quantization.

[2]. BMVC 2025, Pointly-Supervised Weak-Shot Semantic Segmentation via Dual Mapping Transfer.

[3]. ICASSP 2026, Amodal Instance Segmentation by Expanding from Active Boundary with Compatible Prior.