12 citations · 25 across the 13 of their papers we have counts for
4 papers · 1 filter
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement
Ping Hu, Simon Niklaus, Lu Zhang +2
In this work, we first propose a fully differentiable Many-to-Many (M2M) splatting framework to interpolate frames efficiently. Given a frame pair, we estimate multiple bidirection…
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing
Ariel N. Lee, Sarah Adel Bargal, Janavi Kasera +3
Vision transformers (ViTs) have significantly changed the computer vision landscape and have periodically exhibited superior performance in vision tasks compared to convolutional n…
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Dina Bashkirova, Samarth Mishra, Diala Lteif +16
Label-efficient and reliable semantic segmentation is essential for many real-life applications, especially for industrial settings with high visual diversity, such as waste sortin…
Sim-Anchored Learning for On-the-Fly Adaptation
Bassel El Mabsout, Shahin Roozkhosh, Siddharth Mysore +2
Fine-tuning simulation-trained RL agents with real-world data often degrades crucial behaviors due to limited or skewed data distributions. We argue that designer priorities exist…