Bi-CMPStereo uses bidirectional prompting to project event and frame data into each other's domains, creating aligned representations for improved cross-modal stereo matching.
Igev++: Iterative multi-range geometry encoding volumes for stereo matching
2 Pith papers cite this work. Polarity classification is still indexing.
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StereoPolicy fuses left-right image features via cross-attention to deliver consistent gains over RGB, RGB-D, point cloud, and multi-view baselines in simulation and real-robot manipulation tasks.
citing papers explorer
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Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo
Bi-CMPStereo uses bidirectional prompting to project event and frame data into each other's domains, creating aligned representations for improved cross-modal stereo matching.
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StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception
StereoPolicy fuses left-right image features via cross-attention to deliver consistent gains over RGB, RGB-D, point cloud, and multi-view baselines in simulation and real-robot manipulation tasks.