7 citations · 27 across the 15 of their papers we have counts for
6 papers · 1 filter
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining
Ugur Sahin, Hang Li, Qadeer Khan +2
Contemporary large-scale visual language models (VLMs) exhibit strong representation capacities, making them ubiquitous for enhancing image and text understanding tasks. They are o…
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels
Jonathan Schmidt, Qadeer Khan, Daniel Cremers
Deep learning models for self-driving cars require a diverse training dataset to manage critical driving scenarios on public roads safely. This includes having data from divergent…
Lateral Ego-Vehicle Control without Supervision using Point Clouds
Florian Müller, Qadeer Khan, Daniel Cremers
Existing vision based supervised approaches to lateral vehicle control are capable of directly mapping RGB images to the appropriate steering commands. However, they are prone to s…
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
Qadeer Khan, Patrick Wenzel, Daniel Cremers
Vision-based learning methods for self-driving cars have primarily used supervised approaches that require a large number of labels for training. However, those labels are usually…
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving
Patrick Wenzel, Rui Wang, Nan Yang +5
We present a novel dataset covering seasonal and challenging perceptual conditions for autonomous driving. Among others, it enables research on visual odometry, global place recogn…
GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization
Lukas von Stumberg, Patrick Wenzel, Qadeer Khan +1
Direct SLAM methods have shown exceptional performance on odometry tasks. However, they are susceptible to dynamic lighting and weather changes while also suffering from a bad init…