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cs.CV2024
Deep Patch Visual SLAM
Lahav Lipson, Zachary Teed, Jia Deng
Recent work in visual SLAM has shown the effectiveness of using deep network backbones. Despite excellent accuracy, however, such approaches are often expensive to run or do not ge…
cs.CV2024★ 1 cited
SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow
Yihan Wang, Lahav Lipson, Jia Deng
We introduce SEA-RAFT, a more simple, efficient, and accurate RAFT for optical flow. Compared with RAFT, SEA-RAFT is trained with a new loss (mixture of Laplace). It directly regre…
cs.CV2024
Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
Lahav Lipson, Jia Deng
We introduce a new system for Multi-Session SLAM, which tracks camera motion across multiple disjoint videos under a single global reference. Our approach couples the prediction of…