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08/01/2023
PVG: Progressive Vision Graph for Vision Recognition
Convolution-based and Transformer-based vision backbone networks process...
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05/27/2023
A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1 2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
In this technical report, we briefly introduce our solution for the Zero...
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05/19/2023
Learning Global-aware Kernel for Image Harmonization
Image harmonization aims to solve the visual inconsistency problem in co...
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05/12/2023
Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation
In this paper, we focus on a recently proposed novel task called Audio-V...
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05/04/2023
Multimodal-driven Talking Face Generation, Face Swapping, Diffusion Model
Multimodal-driven talking face generation refers to animating a portrait...
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05/04/2023
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning
Recently, emotional talking face generation has received considerable at...
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04/07/2023
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
Most of the existing blind image Super-Resolution (SR) methods assume th...
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03/01/2023
Multimodal Industrial Anomaly Detection via Hybrid Fusion
2D-based Industrial Anomaly Detection has been widely discussed, however...
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01/03/2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Few Shot Instance Segmentation (FSIS) requires models to detect and segm...
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07/10/2022
SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow
In this paper, we focus on exploring effective methods for faster, accur...
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06/19/2022
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
Motivated by biological evolution, this paper explains the rationality o...
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03/09/2022
Region-Aware Face Swapping
This paper presents a novel Region-Aware Face Swapping (RAFSwap) network...
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03/01/2022
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Density-based and classification-based methods have ruled unsupervised a...
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01/12/2022
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution
In the practical application of restoring low-resolution gray-scale imag...
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05/31/2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Inspired by biological evolution, we explain the rationality of Vision T...
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10/25/2020
APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
Audio-guided face reenactment aims to generate a photorealistic face tha...
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08/11/2020
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
This paper presents a novel end-to-end dynamic time-lapse video generati...
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05/18/2020
Hierarchical and Efficient Learning for Person Re-Identification
Recent works in the person re-identification task mainly focus on the mo...
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04/30/2020
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals
Audio-guided face reenactment aims at generating photorealistic faces us...
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03/29/2020
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation
Unsupervised learning of optical flow, which leverages the supervision f...
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03/29/2020
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose
Recent works have shown how realistic talking face images can be obtaine...
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05/28/2019