11 citations · 22 across the 7 of their papers we have counts for
7 papers
Latent Diffusion-Based 3D Molecular Recovery from Vibrational Spectra
Wenjin Wu, Aleš Leonardis, Linjiang Chen +1
Infrared (IR) spectroscopy, a type of vibrational spectroscopy, is widely used for molecular structure determination and provides critical structural information for chemists. Howe…
Tunable Convolutions with Parametric Multi-Loss Optimization
Matteo Maggioni, Thomas Tanay, Francesca Babiloni +2
Behavior of neural networks is irremediably determined by the specific loss and data used during training. However it is often desirable to tune the model at inference time based o…
Learning Dual-Fused Modality-Aware Representations for RGBD Tracking
Shang Gao, Jinyu Yang, Zhe Li +3
With the development of depth sensors in recent years, RGBD object tracking has received significant attention. Compared with the traditional RGB object tracking, the addition of t…
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World
Martin Rudorfer, Markus Suchi, Mohan Sridharan +2
This paper presents BURG-Toolkit, a set of open-source tools for Benchmarking and Understanding Robotic Grasping. Our tools allow researchers to: (1) create virtual scenes for gene…
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…
CroMo: Cross-Modal Learning for Monocular Depth Estimation
Yannick Verdié, Jifei Song, Barnabé Mas +3
Learning-based depth estimation has witnessed recent progress in multiple directions; from self-supervision using monocular video to supervised methods offering highest accuracy. C…
RGBD Object Tracking: An In-depth Review
Jinyu Yang, Zhe Li, Song Yan +4
RGBD object tracking is gaining momentum in computer vision research thanks to the development of depth sensors. Although numerous RGBD trackers have been proposed with promising p…