154 citations · 605 across the 50 of their papers we have counts for
8 papers · 1 filter
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…
Closed Loop Interactive Embodied Reasoning for Robot Manipulation
Michal Nazarczuk, Jan Kristof Behrens, Karla Stepanova +2
Embodied reasoning systems integrate robotic hardware and cognitive processes to perform complex tasks, typically in response to a natural language query about a specific physical…
Interactive Learning of Physical Object Properties Through Robot Manipulation and Database of Object Measurements
Andrej Kruzliak, Jiri Hartvich, Shubhan P. Patni +6
This work presents a framework for automatically extracting physical object properties, such as material composition, mass, volume, and stiffness, through robot manipulation and a…
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…
MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems
Haotian Wu, Maojun Zhang, Yulin Shao +2
Acquiring and utilizing accurate channel state information (CSI) can significantly improve transmission performance, thereby holding a crucial role in realizing the potential advan…
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…