17 citations · 47 across the 7 of their papers we have counts for
7 papers
Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task
Chengyuan Xu, Kuo-Chin Lien, Tobias Höllerer
When designing an AI-assisted decision-making system, there is often a tradeoff between precision and recall in the AI's recommendations. We argue that careful exploitation of this…
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
Sherry X. Chen, Yaron Vaxman, Elad Ben Baruch +5
Despite many attempts to leverage pre-trained text-to-image models (T2I) like Stable Diffusion (SD) for controllable image editing, producing good predictable results remains a cha…
Pair DETR: Contrastive Learning Speeds Up DETR Training
Seyed Mehdi Iranmanesh, Xiaotong Chen, Kuo-Chin Lien
The DETR object detection approach applies the transformer encoder and decoder architecture to detect objects and achieves promising performance. In this paper, we present a simple…
PatchTrack: Multiple Object Tracking Using Frame Patches
Xiaotong Chen, Seyed Mehdi Iranmanesh, Kuo-Chin Lien
Object motion and object appearance are commonly used information in multiple object tracking (MOT) applications, either for associating detections across frames in tracking-by-det…
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment
Yunxiao Shi, Jing Zhu, Yi Fang +2
Learning to predict scene depth and camera motion from RGB inputs only is a challenging task. Most existing learning based methods deal with this task in a supervised manner which…
Structure-Attentioned Memory Network for Monocular Depth Estimation
Jing Zhu, Yunxiao Shi, Mengwei Ren +3
Monocular depth estimation is a challenging task that aims to predict a corresponding depth map from a given single RGB image. Recent deep learning models have been proposed to pre…
Learning Object-specific Distance from a Monocular Image
Jing Zhu, Yi Fang, Husam Abu-Haimed +3
Environment perception, including object detection and distance estimation, is one of the most crucial tasks for autonomous driving. Many attentions have been paid on the object de…