80 citations · 188 across the 39 of their papers we have counts for
12 papers · 1 filter
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
Na Zhao, Gim Hee Lee
Deep learning-based approaches have shown remarkable performance in the 3D object detection task. However, they suffer from a catastrophic performance drop on the originally traine…
Novel Class Discovery in Semantic Segmentation
Yuyang Zhao, Zhun Zhong, Nicu Sebe +1
We introduce a new setting of Novel Class Discovery in Semantic Segmentation (NCDSS), which aims at segmenting unlabeled images containing new classes given prior knowledge from a…
Coarse-to-fine Animal Pose and Shape Estimation
Chen Li, Gim Hee Lee
Most existing animal pose and shape estimation approaches reconstruct animal meshes with a parametric SMAL model. This is because the low-dimensional pose and shape parameters of t…
Learning Iterative Robust Transformation Synchronization
Zi Jian Yew, Gim Hee Lee
Transformation Synchronization is the problem of recovering absolute transformations from a given set of pairwise relative motions. Despite its usefulness, the problem remains chal…
Source-Free Open Compound Domain Adaptation in Semantic Segmentation
Yuyang Zhao, Zhun Zhong, Zhiming Luo +2
In this work, we introduce a new concept, named source-free open compound domain adaptation (SF-OCDA), and study it in semantic segmentation. SF-OCDA is more challenging than the t…
FILTRA: Rethinking Steerable CNN by Filter Transform
Bo Li, Qili Wang, Gim Hee Lee
Steerable CNN imposes the prior knowledge of transformation invariance or equivariance in the network architecture to enhance the the network robustness on geometry transformation…
DeepI2P: Image-to-Point Cloud Registration via Deep Classification
Jiaxin Li, Gim Hee Lee
This paper presents DeepI2P: a novel approach for cross-modality registration between an image and a point cloud. Given an image (e.g. from a rgb-camera) and a general point cloud…
Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping
Jiahao Lin, Gim Hee Lee
Bottom-up approaches for image-based multi-person pose estimation consist of two stages: (1) keypoint detection and (2) grouping of the detected keypoints to form person instances.…
Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo
Jiahao Lin, Gim Hee Lee
Existing approaches for multi-view multi-person 3D pose estimation explicitly establish cross-view correspondences to group 2D pose detections from multiple camera views and solve…
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation
Chen Li, Gim Hee Lee
Animal pose estimation is an important field that has received increasing attention in the recent years. The main challenge for this task is the lack of labeled data. Existing work…
City-scale Scene Change Detection using Point Clouds
Zi Jian Yew, Gim Hee Lee
We propose a method for detecting structural changes in a city using images captured from vehicular mounted cameras over traversals at two different times. We first generate 3D poi…
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
Jiaxin Li, Zijian Feng, Qi She +3
In this paper, we propose MINE to perform novel view synthesis and depth estimation via dense 3D reconstruction from a single image. Our approach is a continuous depth generalizati…