Johan W. Verjans
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | ICCV | Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models. | Townim Faisal Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Nanyu Dong, Minh-Son To, Anton van den Hengel, Johan W. Verjans, Zhibin Liao |
| 2025 | ICCV | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | MICCAI | AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. | Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao |
| 2024 | MICCAI | Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. | Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To |
| 2023 | MICCAI | Multi-Head Multi-Loss Model Calibration. | Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel ngel Gonzlez Ballester |
| 2023 | MICCAI | Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation. | Minh-Hieu Phan, Zhibin Liao, Johan W. Verjans, Minh-Son To |
| 2021 | CHI | Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps. | Haifeng Shen, Kewen Liao, Zhibin Liao, Job N. Doornberg, Maoying Qiao, Anton van den Hengel, Johan W. Verjans |
| 2021 | ICCV | Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. | Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro |
| 2021 | MICCAI | Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. | Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro |
| 2020 | MICCAI | Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. | Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro |