Verjans, Johan W.

7 publications

NeurIPS 2025 Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction Nadhir Hassen, Zhen Zhang, Johan W. Verjans

CVPR 2025 Interactive Medical Image Analysis with Concept-Based Similarity Reasoning Ta Duc Huy, Sen Kim Tran, Phan Nguyen, Nguyen Hoang Tran, Tran Bao Sam, Anton van den Hengel, Zhibin Liao, Johan W. Verjans, Minh-Son To, Vu Minh Hieu Phan

ICCV 2025 Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models Townim Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Nanyu Dong, Minh-Son To, Anton van den Hengel, Johan W. Verjans, Zhibin Liao

ICCV 2025 Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding Ta Duc Huy, Duy Anh Huynh, Yutong Xie, Yuankai Qi, Qi Chen, Phi Le Nguyen, Sen Kim Tran, Son Lam Phung, Anton van den Hengel, Zhibin Liao, Minh-Son To, Johan W. Verjans, Vu Minh Hieu Phan

CVPR 2024 CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao

CVPR 2024 Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans

ICCV 2021 Weakly-Supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro