research
∙
08/23/2023
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
The visual models pretrained on large-scale benchmarks encode general kn...
share
research
∙
08/20/2023
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection
Anomaly detection (AD), aiming to find samples that deviate from the tra...
research
∙
06/19/2023
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Generating realistic human motion from given action descriptions has exp...
research
∙
04/25/2023
Seeing is not always believing: A Quantitative Study on Human Perception of AI-Generated Images
Photos serve as a way for humans to record what they experience in their...
research
∙
04/15/2023
Align-DETR: Improving DETR with Simple IoU-aware BCE loss
DETR has set up a simple end-to-end pipeline for object detection by for...
research
∙
03/25/2023
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
Object detection on drone images with low-latency is an important but ch...
research
∙
03/24/2023
NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images
Realistic face rendering from multi-view images is beneficial to various...
research
∙
03/22/2023
OcTr: Octree-based Transformer for 3D Object Detection
A key challenge for LiDAR-based 3D object detection is to capture suffic...
research
∙
03/17/2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Inspired by recent advances in diffusion models, which are reminiscent o...
research
∙
02/28/2023
RGB-D Grasp Detection via Depth Guided Learning with Cross-modal Attention
Planar grasp detection is one of the most fundamental tasks to robotic m...
research
∙
01/18/2023
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models
We propose a new method for object pose estimation without CAD models. T...
research
∙
12/31/2022
Ponder: Point Cloud Pre-training via Neural Rendering
We propose a novel approach to self-supervised learning of point cloud r...
research
∙
12/10/2022
Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes
In this paper, we focus on the problem of feature learning in the presen...
research
∙
12/07/2022
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
Along with the widespread use of face recognition systems, their vulnera...
research
∙
11/30/2022
Reconstructing Hand-Held Objects from Monocular Video
This paper presents an approach that reconstructs a hand-held object fro...
research
∙
08/22/2022
STS: Surround-view Temporal Stereo for Multi-view 3D Detection
Learning accurate depth is essential to multi-view 3D object detection. ...
research
∙
08/12/2022
Motion Sensitive Contrastive Learning for Self-supervised Video Representation
Contrastive learning has shown great potential in video representation l...
research
∙
07/20/2022
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Video Anomaly Detection (VAD) is an important topic in computer vision. ...
research
∙
04/17/2022
Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint
Active learning is a promising alternative to alleviate the issue of hig...
research
∙
04/17/2022
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
Domain adaptive object detection (DAOD) is a promising way to alleviate ...
research
∙
04/01/2022
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection
In autonomous driving, LiDAR point-clouds and RGB images are two major d...
research
∙
03/28/2022
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
Precise representations of 3D faces are beneficial to various computer v...
research
∙
12/21/2021
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) in untrimmed video...
research
∙
12/20/2021
UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery
This paper proposes a novel approach to object detection on drone imager...
research
∙
12/15/2021
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Occlusions are very common in face images in the wild, leading to the de...
research
∙
10/27/2021
Boundary Guided Context Aggregation for Semantic Segmentation
The recent studies on semantic segmentation are starting to notice the s...
research
∙
08/26/2021
Identity-aware Graph Memory Network for Action Detection
Action detection plays an important role in high-level video understandi...
research
∙
08/25/2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
Differentiable ARchiTecture Search (DARTS) uses a continuous relaxation ...
research
∙
08/23/2021
PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation
RGB-D based 6D pose estimation has recently achieved remarkable progress...
research
∙
08/22/2021
Image Inpainting via Conditional Texture and Structure Dual Generation
Deep generative approaches have recently made considerable progress in i...
research
∙
08/08/2021
Recurrent Graph Neural Networks for Rumor Detection in Online Forums
The widespread adoption of online social networks in daily life has crea...
research
∙
08/03/2021
Double-Dot Network for Antipodal Grasp Detection
This paper proposes a new deep learning approach to antipodal grasp dete...
research
∙
06/14/2021
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction
Although much progress has been made recently in 3D face reconstruction,...
research
∙
06/14/2021
Pixel Sampling for Style Preserving Face Pose Editing
The existing auto-encoder based face pose editing methods primarily focu...
research
∙
05/05/2021
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition
In this paper, an effective pipeline to automatic 4D Facial Expression R...
research
∙
03/07/2021
Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection
Anomaly detection is a challenging task and usually formulated as an uns...
research
∙
12/24/2020
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images
Objects in aerial images usually have arbitrary orientations and are den...
research
∙
12/18/2020
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
LiDAR-based 3D object detection is an important task for autonomous driv...
research
∙
07/18/2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Few-shot object detection (FSOD) helps detectors adapt to unseen classes...
research
∙
07/17/2020
Improving Object Detection with Selective Self-supervised Self-training
We study how to leverage Web images to augment human-curated object dete...
research
∙
03/23/2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Recent years have witnessed great progress in deep learning based object...
research
∙
02/03/2020
DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
research
∙
11/26/2019
Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism
Recently, Human Attribute Recognition (HAR) has become a hot topic due t...
research
∙
11/21/2019
Synthetic vs Real: Deep Learning on Controlled Noise
Performing controlled experiments on noisy data is essential in thorough...
research
∙
11/21/2019
Learning Spatial Fusion for Single-Shot Object Detection
Pyramidal feature representation is the common practice to address the c...
research
∙
11/01/2019
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
Recent emerged quantization technique (i.e., using low bit-width fixed-p...
research
∙
09/06/2019
ArduCode: Predictive Framework for Automation Engineering
Automation engineering is the task of integrating, via software, various...
research
∙
09/06/2019
Graph Representation Ensemble Learning
Representation learning on graphs has been gaining attention due to its ...
research
∙
08/19/2019
Benchmarks for Graph Embedding Evaluation
Graph embedding is the task of representing nodes of a graph in a low-di...
research
∙
08/15/2019