Jin, Chen

8 publications

ICLR 2025 Balancing Act: Diversity and Consistency in Large Language Model Ensembles Ahmed Abdulaal, Chen Jin, Nina Montaña-Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran

ICML 2025 Diffusion Instruction Tuning Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare

ICML 2025 Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Alexander Teare, Huiyu Zhou, Chen Jin

ICML 2024 An Image Is Worth Multiple Words: Discovering Object Level Concepts Using Multi-Concept Prompt Learning Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare

ECCV 2024 Tackling Structural Hallucination in Image Translation with Local Diffusion Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry FJ Tregidgo, Asher Mullokandov, Philip A Teare, Daniel Alexander

MIDL 2023 Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius deGroot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob

ICLR 2022 Learning to Downsample for Segmentation of Ultra-High Resolution Images Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander

NeurIPS 2020 Disentangling Human Error from Ground Truth in Segmentation of Medical Images Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel Alexander