154 citations · 605 across the 50 of their papers we have counts for
5 papers · 2 filters
Match Stereo Videos via Bidirectional Alignment
Junpeng Jing, Ye Mao, Anlan Qiu +1
Video stereo matching is the task of estimating consistent disparity maps from rectified stereo videos. There is considerable scope for improvement in both datasets and methods wit…
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
Ye Mao, Junpeng Jing, Krystian Mikolajczyk
Recent open-world 3D representation learning methods using Vision-Language Models (VLMs) to align 3D point cloud with image-text information have shown superior 3D zero-shot perfor…
Language-Based Depth Hints for Monocular Depth Estimation
Dylan Auty, Krystian Mikolajczyk
Monocular depth estimation (MDE) is inherently ambiguous, as a given image may result from many different 3D scenes and vice versa. To resolve this ambiguity, an MDE system must ma…
Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching
Junpeng Jing, Ye Mao, Krystian Mikolajczyk
Dynamic stereo matching is the task of estimating consistent disparities from stereo videos with dynamic objects. Recent learning-based methods prioritize optimal performance on a…
Learning to Project for Cross-Task Knowledge Distillation
Dylan Auty, Roy Miles, Benedikt Kolbeinsson +1
Traditional knowledge distillation (KD) relies on a proficient teacher trained on the target task, which is not always available. In this setting, cross-task distillation can be us…