Congratulations to all the amazing students and collaborators!

  1. Lukas Hoyer, Dengxin Dai, Luc Van Gool. “DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation“, Code
  2. Ozan Unal, Dengxin Dai, Luc Van Gool. “Scribble-Supervised LiDAR Semantic Segmentation“, Code (Oral)
  3. Yue Fan, Dengxin Dai, Bernt Schiele. “CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
  4. Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai. “Decoupling Zero-Shot Semantic Segmentation
  5. Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai. “Continual Test-Time Domain Adaptation“.
  6. Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool. “Sound and Visual Representation Learning with Multiple Pretraining Tasks
  7. Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool. “Adiabatic Quantum Computing for Multi Object Tracking
  8. Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool. “LiDAR Snowfall Simulation for Robust 3D Object Detection” (Oral)
  9. Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool. “Pix2NeRF: Unsupervised Conditional  π-GAN for Single Image to Neural Radiance Fields Translation
  10. 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)
  11.  Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele. “Bi-level Alignment for Cross-Domain Crowd Counting”.