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Found 13 papers, 6 papers with code
Adaptive Super Resolution For One-Shot Talking-Head Generation
In this work, we propose an adaptive high-quality talking-head video generation method, which synthesizes high-resolution video without additional pre-trained modules.
Emotional Listener Portrait: Neural Listener Head Generation with Emotion
Listener head generation centers on generating non-verbal behaviors (e. g., smile) of a listener in reference to the information delivered by a speaker.
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
But we find existing graph-based methods in the visible-infrared person re-identification task (VI-ReID) suffer from bad generalization because of two issues: 1) train-test modality balance gap, which is a property of VI-ReID task.
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
To counter this emerging threat, we construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way (real / fake), three-way (real / fake with identity-replaced forgery approaches / fake with identity-remained forgery approaches), and n-way (real and 15 respective forgery approaches) classification.
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
The main reason is that current face anti-spoofing datasets are limited in both quantity and diversity.
Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues
As realistic facial manipulation technologies have achieved remarkable progress, social concerns about potential malicious abuse of these technologies bring out an emerging research topic of face forgery detection.
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Semantic image synthesis aims at generating photorealistic images from semantic layouts.
A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis
Multiple-object tracking and behavior analysis have been the essential parts of surveillance video analysis for public security and urban management.
Context and Attribute Grounded Dense Captioning
Dense captioning aims at simultaneously localizing semantic regions and describing these regions-of-interest (ROIs) with short phrases or sentences in natural language.
Ranked #3 on
Dense Captioning
on Visual Genome
Semantics Disentangling for Text-to-Image Generation
Synthesizing photo-realistic images from text descriptions is a challenging problem.
Real-Time Anomaly Detection With HMOF Feature
Most existing methods are computation consuming, which cannot satisfy the real-time requirement.
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Our proposed FD-GAN achieves state-of-the-art performance on three person reID datasets, which demonstrates that the effectiveness and robust feature distilling capability of the proposed FD-GAN.
Ranked #3 on
Person Re-Identification
on CUHK03
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
We show that by encouraging deep message propagation and interactions between local object features and global predicate features, one can achieve compelling performance in recognizing complex relationships without using any linguistic priors.
