489 citations · 2.2k across the 126 of their papers we have counts for
147 papers
Vision Transformer Adapters for Generalizable Multitask Learning
Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
We introduce the first multitasking vision transformer adapters that learn generalizable task affinities which can be applied to novel tasks and domains. Integrated into an off-the…
Dense Multitask Learning to Reconfigure Comics
Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann
In this paper, we develop a MultiTask Learning (MTL) model to achieve dense predictions for comics panels to, in turn, facilitate the transfer of comics from one publication channe…
Robust Outlier Rejection for 3D Registration with Variational Bayes
Haobo Jiang, Zheng Dang, Zhen Wei +3
Learning-based outlier (mismatched correspondence) rejection for robust 3D registration generally formulates the outlier removal as an inlier/outlier classification problem. The co…
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
Tang Tao, Longfei Gao, Guangrun Wang +7
We introduce a new task, novel view synthesis for LiDAR sensors. While traditional model-based LiDAR simulators with style-transfer neural networks can be applied to render novel v…
De-coupling and De-positioning Dense Self-supervised Learning
Congpei Qiu, Tong Zhang, Wei Ke +2
Dense Self-Supervised Learning (SSL) methods address the limitations of using image-level feature representations when handling images with multiple objects. Although the dense fea…
Spatiotemporal Self-supervised Learning for Point Clouds in the Wild
Yanhao Wu, Tong Zhang, Wei Ke +2
Self-supervised learning (SSL) has the potential to benefit many applications, particularly those where manually annotating data is cumbersome. One such situation is the semantic s…