research
∙
08/07/2023
Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Adversarial robustness poses a critical challenge in the deployment of d...
share
research
∙
04/07/2023
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering
Causal Video Question Answering (CVidQA) queries not only association or...
research
∙
03/07/2023
BIRD-PCC: Bi-directional Range Image-based Deep LiDAR Point Cloud Compression
The large amount of data collected by LiDAR sensors brings the issue of ...
research
∙
10/08/2022
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling
While recent large-scale video-language pre-training made great progress...
research
∙
03/21/2022
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
Monocular 3D object detection is an important yet challenging task in au...
research
∙
12/04/2021
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation
In few-shot imitation learning (FSIL), using behavioral cloning (BC) to ...
research
∙
11/29/2021
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Anomaly awareness is an essential capability for safety-critical applica...
research
∙
08/18/2021
Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic
Spatial-temporal prediction is a critical problem for intelligent transp...
research
∙
08/10/2021
TrUMAn: Trope Understanding in Movies and Animations
Understanding and comprehending video content is crucial for many real-w...
research
∙
07/25/2021
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation
Despite the success of deep learning on supervised point cloud semantic ...
research
∙
04/10/2021
Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining
Most of the 3D networks are trained from scratch owning to the lack of l...
research
∙
03/13/2021
OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding
To effectively apply robots in working environments and assist humans, i...
research
∙
03/03/2021
S^3: Learnable Sparse Signal Superdensity for Guided Depth Estimation
Dense Depth estimation plays a key role in multiple applications such as...
research
∙
02/24/2021
Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection
While recent progress has significantly boosted few-shot classification ...
research
∙
01/19/2021
Situation and Behavior Understanding by Trope Detection on Films
The human ability of deep cognitive skills are crucial for the developme...
research
∙
01/05/2021
End-to-End Video Question-Answer Generation with Generator-Pretester Network
We study a novel task, Video Question-Answer Generation (VQAG), for chal...
research
∙
10/21/2020
A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
We proposed an end-to-end grasp detection network, Grasp Detection Netwo...
research
∙
07/05/2019