2 citations · 7 across the 8 of their papers we have counts for
8 papers
SAI3D: Segment Any Instance in 3D Scenes
Yingda Yin, Yuzheng Liu, Yang Xiao +3
Advancements in 3D instance segmentation have traditionally been tethered to the availability of annotated datasets, limiting their application to a narrow spectrum of object categ…
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution
Yingda Yin, Jiangran Lyu, Yang Wang +3
Estimating the 3DoF rotation from a single RGB image is an important yet challenging problem. As a popular approach, probabilistic rotation modeling additionally carries prediction…
Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
Yulin Liu, Haoran Liu, Yingda Yin +3
Normalizing flows (NFs) provide a powerful tool to construct an expressive distribution by a sequence of trackable transformations of a base distribution and form a probabilistic m…
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
Yingda Yin, Yang Wang, He Wang +1
Estimating the 3DoF rotation from a single RGB image is an important yet challenging problem. Probabilistic rotation regression has raised more and more attention with the benefit…
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering
Yingda Yin, Yingcheng Cai, He Wang +1
Estimating the 3DoF rotation from a single RGB image is an important yet challenging problem. Recent works achieve good performance relying on a large amount of expensive-to-obtain…
Projective Manifold Gradient Layer for Deep Rotation Regression
Jiayi Chen, Yingda Yin, Tolga Birdal +3
Regressing rotations on SO(3) manifold using deep neural networks is an important yet unsolved problem. The gap between the Euclidean network output space and the non-Euclidean SO(…
Towards Accurate Active Camera Localization
Qihang Fang, Yingda Yin, Qingnan Fan +6
In this work, we tackle the problem of active camera localization, which controls the camera movements actively to achieve an accurate camera pose. The past solutions are mostly ba…
Single image reflection removal via learning with multi-image constraints
Yingda Yin, Qingnan Fan, Dongdong Chen +5
Reflections are very common phenomena in our daily photography, which distract people's attention from the scene behind the glass. The problem of removing reflection artifacts is i…