Search Results for author:
Found 17 papers, 6 papers with code
D3D-HOI: Dynamic 3D Human-Object Interactions from Videos
We evaluate this approach on our dataset, demonstrating that human-object relations can significantly reduce the ambiguity of articulated object reconstructions from challenging real-world videos.
Structured Outdoor Architecture Reconstruction by Exploration and Classification
This paper presents an explore-and-classify framework for structured architectural reconstruction from an aerial image.
Learning Self-Consistency for Deepfake Detection
We propose a new method to detect deepfake images using the cue of the source feature inconsistency within the forged images.
MCMI: Multi-Cycle Image Translation with Mutual Information Constraints
We present a mutual information-based framework for unsupervised image-to-image translation.
On Improving Temporal Consistency for Online Face Liveness Detection
In this paper, we focus on improving the online face liveness detection system to enhance the security of the downstream face recognition system.
On Improving the Generalization of Face Recognition in the Presence of Occlusions
In this paper, we address a key limitation of existing 2D face recognition methods: robustness to occlusions.
Adversarial Representation Learning for Text-to-Image Matching
For many computer vision applications such as image captioning, visual question answering, and person search, learning discriminative feature representations at both image and text level is an essential yet challenging problem.
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
On the one hand, deep neural networks are effective in learning large datasets.
Ranked #4 on
Domain Adaptation
on Office-31
$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Deep neural networks often require copious amount of labeled-data to train their scads of parameters.
Open Source Face Recognition Performance Evaluation Package
Biometrics-related research has been accelerated significantly by deep learning technology.
Robust and High Performance Face Detector
In recent years, face detection has experienced significant performance improvement with the boost of deep convolutional neural networks.
Error Correction Maximization for Deep Image Hashing
We propose to use the concept of the Hamming bound to derive the optimal criteria for learning hash codes with a deep network.
Deep Imbalanced Attribute Classification using Visual Attention Aggregation
For many computer vision applications, such as image description and human identification, recognizing the visual attributes of humans is an essential yet challenging problem.
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification
In this paper we propose a novel Spatial and Temporal Features Mixture Model (STFMM) based on convolutional neural network (CNN) and recurrent neural network (RNN), in which the human body is split into $N$ parts in horizontal direction so that we can obtain more specific features.
Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment
The method relies on Convolutional Point-set Representation (CPR), a carefully designed matrix representation to summarize different layers of information encoded in the set of detected points in the annotated image.
Face Detection Using Improved Faster RCNN
Faster RCNN has achieved great success for generic object detection including PASCAL object detection and MS COCO object detection.
Ranked #4 on
Face Detection
on WIDER Face (Easy)
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition
Extensive experiments are conducted on the UHDB31 and IJB-A, demonstrating that UR2D outperforms existing 2D face recognition systems such as VGG-Face, FaceNet, and a commercial off-the-shelf software (COTS) by at least 9% on the UHDB31 dataset and 3% on the IJB-A dataset on average in face identification tasks.
