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08/07/2023
Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Adversarial robustness poses a critical challenge in the deployment of d...
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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...
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03/29/2023
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
Obtaining large-scale labeled object detection dataset can be costly and...
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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 ...
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12/16/2022
Free-form 3D Scene Inpainting with Dual-stream GAN
Nowadays, the need for user editing in a 3D scene has rapidly increased ...
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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...
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10/05/2022
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations
Point cloud registration is a crucial problem in computer vision and rob...
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09/27/2022
Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping
A spatial AI that can perform complex tasks through visual signals and c...
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09/22/2022
Fair Robust Active Learning by Joint Inconsistency
Fair Active Learning (FAL) utilized active learning techniques to achiev...
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09/19/2022
CFVS: Coarse-to-Fine Visual Servoing for 6-DoF Object-Agnostic Peg-In-Hole Assembly
Robotic peg-in-hole assembly remains a challenging task due to its high ...
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05/07/2022
GenISP: Neural ISP for Low-Light Machine Cognition
Object detection in low-light conditions remains a challenging but impor...
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03/21/2022
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
Monocular 3D object detection is an important yet challenging task in au...
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02/14/2022
ADeADA: Adaptive Density-aware Active Domain Adaptation for Semantic Segmentation
In the field of domain adaptation, a trade-off exists between the model ...
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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 ...
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12/02/2021
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction
Shifts Challenge: Robustness and Uncertainty under Real-World Distributi...
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11/29/2021
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data
Anomaly awareness is an essential capability for safety-critical applica...
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10/22/2021
Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation
Vehicle velocity and inter-vehicle distance estimation are essential for...
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10/20/2021
NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset
Recent work indicates that, besides being a challenge in producing perce...
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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...
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08/10/2021
TrUMAn: Trope Understanding in Movies and Animations
Understanding and comprehending video content is crucial for many real-w...
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08/03/2021
ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception
Object detection plays a deep role in visual systems by identifying inst...
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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 ...
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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...
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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...
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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...
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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 ...
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01/19/2021
Situation and Behavior Understanding by Trope Detection on Films
The human ability of deep cognitive skills are crucial for the developme...
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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...
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12/08/2020
Raw Image Deblurring
Deep learning-based blind image deblurring plays an essential role in so...
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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...
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05/21/2020
Efficient and Phase-aware Video Super-resolution for Cardiac MRI
Cardiac Magnetic Resonance Imaging (CMR) is widely used since it can ill...
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05/19/2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
In recent years, few-shot learning problems have received a lot of atten...
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03/11/2020
xCos: An Explainable Cosine Metric for Face Verification Task
We study the XAI (explainable AI) on the face recognition task, particul...
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08/22/2019
Indoor Depth Completion with Boundary Consistency and Self-Attention
Depth estimation features are helpful for 3D recognition. Commodity-grad...
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08/01/2019
A Unified Point-Based Framework for 3D Segmentation
3D point cloud segmentation remains challenging for structureless and te...
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11/06/2018
Super-Identity Convolutional Neural Network for Face Hallucination
Face hallucination is a generative task to super-resolve the facial imag...
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07/19/2017
Drone-based Object Counting by Spatially Regularized Regional Proposal Network
Existing counting methods often adopt regression-based approaches and ca...
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08/18/2016
Photo Filter Recommendation by Category-Aware Aesthetic Learning
Nowadays, social media has become a popular platform for the public to s...
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06/29/2016
De-Hashing: Server-Side Context-Aware Feature Reconstruction for Mobile Visual Search
Due to the prevalence of mobile devices, mobile search becomes a more co...
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11/19/2015
Mediated Experts for Deep Convolutional Networks
We present a new supervised architecture termed Mediated Mixture-of-Expe...
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09/15/2014
