Congratulations to all the amazing students and collaborators!
- Lukas Hoyer, Dengxin Dai, Luc Van Gool. “DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation“, Code
- Ozan Unal, Dengxin Dai, Luc Van Gool. “Scribble-Supervised LiDAR Semantic Segmentation“, Code (Oral)
- Yue Fan, Dengxin Dai, Bernt Schiele. “CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning“
- Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai. “Decoupling Zero-Shot Semantic Segmentation“
- Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai. “Continual Test-Time Domain Adaptation“.
- Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool. “Sound and Visual Representation Learning with Multiple Pretraining Tasks“
- Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool. “Adiabatic Quantum Computing for Multi Object Tracking“
- Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool. “LiDAR Snowfall Simulation for Robust 3D Object Detection” (Oral)
- Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool. “Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation“
- Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin. “Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding” (Oral)
- Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele. “Bi-level Alignment for Cross-Domain Crowd Counting”.