9 citations · 13 across the 5 of their papers we have counts for
5 papers
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
Fengyi Shen, Akhil Gurram, Ziyuan Liu +2
Domain adaptive semantic segmentation methods commonly utilize stage-wise training, consisting of a warm-up and a self-training stage. However, this popular approach still faces se…
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation
Fengyi Shen, Zador Pataki, Akhil Gurram +3
Due to the lack of training labels and the difficulty of annotating, dealing with adverse driving conditions such as nighttime has posed a huge challenge to the perception system o…
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects
Qiyu Dai, Jiyao Zhang, Qiwei Li +5
Commercial depth sensors usually generate noisy and missing depths, especially on specular and transparent objects, which poses critical issues to downstream depth or point cloud-b…
Unseen Object 6D Pose Estimation: A Benchmark and Baselines
Minghao Gou, Haolin Pan, Hao-Shu Fang +3
Estimating the 6D pose for unseen objects is in great demand for many real-world applications. However, current state-of-the-art pose estimation methods can only handle objects tha…
A Real World Dataset for Multi-view 3D Reconstruction
Rakesh Shrestha, Siqi Hu, Minghao Gou +2
We present a dataset of 998 3D models of everyday tabletop objects along with their 847,000 real world RGB and depth images. Accurate annotations of camera poses and object poses f…