Few-Shot Object Detection by Second-Order Pooling. - Shan Zhang 002; Dawei Luo; Lei Wang 001; Piotr Koniusz (ACCV (4), 2020)

Kernelized Few-shot Object Detection with Efficient Integral Aggregation. - Shan Zhang 002; Lei Wang 001; Naila Murray; Piotr Koniusz (CVPR, 2022)

Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. - Shan Zhang 002; Naila Murray; Lei Wang 001; Piotr Koniusz (ECCV (20), 2022)

PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization. - Yao Ni; Shan Zhang 002; Piotr Koniusz (NeurIPS, 2024)

Semantic Transfer from Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition. - Shan Zhang 002; Yao Ni; Jinhao Du; Yanxia Liu; Piotr Koniusz (WACV, 2024)

Open-World Objectness Modeling Unifies Novel Object Detection. - Shan Zhang 002; Yao Ni; Jinhao Du; Yuan Xue; Philip Torr 001; Piotr Koniusz; Anton van den Hengel (CVPR, 2025)

Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs. - Shan Zhang 002; Aotian Chen; Yanpeng Sun; Jindong Gu; Yi-Yu Zheng; Piotr Koniusz; Kai Zou; Anton van den Hengel; Yuan Xue (CoRR, 2025)

MATHGLANCE: Multimodal Large Language Models Do Not Know Where to Look in Mathematical Diagrams. - Yanpeng Sun; Shan Zhang 002; Wei Tang; Aotian Chen; Piotr Koniusz; Kai Zou; Yuan Xue; Anton van den Hengel (CoRR, 2025)