firstbacksecondback
32 Results
|
Poster
|
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning Zaid Khan · Yun Fu |
||
|
Poster
|
Mon 7:30 |
Iterative Patch Selection for High-Resolution Image Recognition Benjamin Bergner · Christoph Lippert · Aravindh Mahendran |
|
|
Poster
|
Tue 7:30 |
Sparse Token Transformer with Attention Back Tracking Heejun Lee · Minki Kang · Youngwan Lee · Sung Ju Hwang |
|
|
Poster
|
Wed 2:30 |
What Do Self-Supervised Vision Transformers Learn? Namuk Park · Wonjae Kim · Byeongho Heo · Taekyung Kim · Sangdoo Yun |
|
|
Poster
|
Tue 2:30 |
DINO as a von Mises-Fisher mixture model Hariprasath Govindarajan · Per Sidén · Jacob Roll · Fredrik Lindsten |
|
|
Poster
|
Tue 7:30 |
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska · Xiantong Zhen · Marcel Worring |
|
|
Poster
|
Conditional Positional Encodings for Vision Transformers Xiangxiang Chu · Zhi Tian · Bo Zhang · Xinlong Wang · Chunhua Shen |
||
|
Poster
|
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers Xianbiao Qi · Jianan Wang · Yihao Chen · Yukai Shi · Lei Zhang |
||
|
Oral
|
Tue 1:40 |
DINO as a von Mises-Fisher mixture model Hariprasath Govindarajan · Per Sidén · Jacob Roll · Fredrik Lindsten |
|
|
Poster
|
Wed 7:30 |
Bridging the Gap to Real-World Object-Centric Learning Maximilian Seitzer · Max Horn · Andrii Zadaianchuk · Dominik Zietlow · Tianjun Xiao · Carl-Johann Simon-Gabriel · Tong He · Zheng Zhang · Bernhard Schoelkopf · Thomas Brox · Francesco Locatello |
|
|
Poster
|
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity Hongkang Li · Meng Wang · Sijia Liu · Pin-Yu Chen |
||
|
Workshop
|
Fri 5:50 |
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Zekun Li · Shiyang Li · Xifeng Yan |