paper-conference

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation
Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Suenderhauf, Feras Dayoub, Ian Reid
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RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation
Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, Niko Suenderhauf
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Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
Ming Xu, Sourav Garg, Michael Milford, Stephen Gould
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DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions
Stephen Hausler, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford
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GDIP: gated differentiable image processing for object detection in adverse conditions
Sanket Kalwar, Dhruv Patel, Aakash Aanegola, Krishna Reddy Konda, Sourav Garg, K Madhava Krishna
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Hierarchical Unsupervised Topological SLAM
Ayush Sharma, Yash Mehan, Pradyumna Dasu, Sourav Garg, Madhava Krishna
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Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization
Stephen Hausler, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford
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When the sun goes down: Repairing photometric losses for all-day depth estimation
Madhu Vankadari, Stuart Golodetz, Sourav Garg, Sangyun Shin, Andrew Markham, Niki Trigoni
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SeqMatchNet: Contrastive learning with sequence matching for place recognition & relocalization
Sourav Garg, Madhu Vankadari, Michael Milford
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SeqMatchNet: Contrastive learning with sequence matching for place recognition & relocalization
Improving Semantic Segmentation with Calibrated Whole Image and Patch-Based Similar Place Priors
Connor Malone, Sourav Garg, Thierry Peynot, Michael Milford
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