Search Results for author:
Found 7 papers, 5 papers with code
Fourier Disentangled Space-Time Attention for Aerial Video Recognition
Our formulation uses a novel Fourier object disentanglement method to innately separate out the human agent (which is typically small) from the background.
GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
We interface GANav with a deep reinforcement learning-based navigation algorithm and highlight its benefits in terms of navigation in real-world unstructured terrains.
SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments
We present a novel approach for unsupervised road segmentation in adverse weather conditions such as rain or fog.
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation
Practical autonomous driving systems face two crucial challenges: memory constraints and domain gap issues.
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments
We present an unsupervised adaptation approach for visual scene understanding in unstructured traffic environments.
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
The results in the paper are state-of-the-art restoration performance of Under-Display Camera Restoration.
Deep Atrous Guided Filter for Image Restoration in Under Display Cameras
In this work, we present Deep Atrous Guided Filter (DAGF), a two-stage, end-to-end approach for image restoration in UDC systems.
