2 citations · 3 across the 4 of their papers we have counts for
4 papers
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition
Xinyu Gong, Sreyas Mohan, Naina Dhingra +4
In this paper, we study a novel problem in egocentric action recognition, which we term as "Multimodal Generalization" (MMG). MMG aims to study how systems can generalize when data…
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation
Hyunyoung Jung, Zhuo Hui, Lei Luo +5
To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs. However, downsizing inputs makes the esti…
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation
Gyeongmin Choe, Beibei Du, Seonghyeon Nam +3
For low-level computer vision and image processing ML tasks, training on large datasets is critical for generalization. However, the standard practice of relying on real-world imag…
Fast Point Cloud Generation with Straight Flows
Lemeng Wu, Dilin Wang, Chengyue Gong +6
Diffusion models have emerged as a powerful tool for point cloud generation. A key component that drives the impressive performance for generating high-quality samples from noise i…