research
∙
09/05/2023
TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction
Four-dimensional Digital Subtraction Angiography (4D DSA) plays a critic...
share
research
∙
04/24/2023
Segment Anything in 3D with NeRFs
The Segment Anything Model (SAM) has demonstrated its effectiveness in s...
research
∙
03/27/2023
Generalizable Neural Voxels for Fast Human Radiance Fields
Rendering moving human bodies at free viewpoints only from a monocular v...
research
∙
05/30/2022
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
Neural radiance fields (NeRF) have shown great success in modeling 3D sc...
research
∙
04/18/2022
Temporally Efficient Vision Transformer for Video Instance Segmentation
Recently vision transformer has achieved tremendous success on image-lev...
research
∙
03/27/2022
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
The past year has witnessed a rapid development of masked image modeling...
research
∙
12/05/2021
Exploring Complicated Search Spaces with Interleaving-Free Sampling
The existing neural architecture search algorithms are mostly working on...
research
∙
11/30/2021
NeuSample: Neural Sample Field for Efficient View Synthesis
Neural radiance fields (NeRF) have shown great potentials in representin...
research
∙
11/25/2021
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
In this paper, we propose a self-supervised visual representation learni...
research
∙
08/05/2021
Hierarchical Aggregation for 3D Instance Segmentation
Instance segmentation on point clouds is a fundamental task in 3D scene ...
research
∙
07/04/2021
Bag of Instances Aggregation Boosts Self-supervised Learning
Recent advances in self-supervised learning have experienced remarkable ...
research
∙
06/01/2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Can Transformer perform 2D object-level recognition from a pure sequence...
research
∙
05/31/2021
MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Transformers have offered a new methodology of designing neural networks...
research
∙
12/21/2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels
Data augmentation is a powerful technique to increase the diversity of d...
research
∙
12/13/2020
EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
Human pose estimation from image and video is a vital task in many multi...
research
∙
06/21/2020
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
Deep neural networks achieve remarkable performance in many computer vis...
research
∙
01/08/2020
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Deep neural networks achieve remarkable performance in many computer vis...
research
∙
06/23/2019
Densely Connected Search Space for More Flexible Neural Architecture Search
In recent years, neural architecture search (NAS) has dramatically advan...
research
∙
01/17/2019
