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09/16/2023
Delving into Multimodal Prompting for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) involves categorizing fine sub...
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08/23/2023
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos
Non-photorealistic videos are in demand with the wave of the metaverse, ...
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08/11/2023
RIGID: Recurrent GAN Inversion and Editing of Real Face Videos
GAN inversion is indispensable for applying the powerful editability of ...
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08/10/2023
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting
Domain adaptation is commonly employed in crowd counting to bridge the d...
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08/03/2023
Disentangling Multi-view Representations Beyond Inductive Bias
Multi-view (or -modality) representation learning aims to understand the...
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04/19/2023
Single-View View Synthesis with Self-Rectified Pseudo-Stereo
Synthesizing novel views from a single view image is a highly ill-posed ...
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04/17/2023
SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing
The presence of non-homogeneous haze can cause scene blurring, color dis...
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03/24/2023
Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
Considering the ill-posed nature, contrastive regularization has been de...
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03/16/2023
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
Previous Knowledge Distillation based efficient image retrieval methods ...
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11/15/2022
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection
HD map reconstruction is crucial for autonomous driving. LiDAR-based met...
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08/13/2022
Self-supervised Matting-specific Portrait Enhancement and Generation
We resolve the ill-posed alpha matting problem from a completely differe...
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07/17/2022
Editing Out-of-domain GAN Inversion via Differential Activations
Despite the demonstrated editing capacity in the latent space of a pretr...
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06/15/2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning
Data mixing (e.g., Mixup, Cutmix, ResizeMix) is an essential component f...
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05/29/2022
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting
Crowd image is arguably one of the most laborious data to annotate. In t...
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03/30/2022
High-resolution Face Swapping via Latent Semantics Disentanglement
We present a novel high-resolution face swapping method using the inhere...
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11/30/2021
Shunted Self-Attention via Multi-Scale Token Aggregation
Recent Vision Transformer (ViT) models have demonstrated encouraging res...
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09/06/2021
From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation
Ultra-high resolution image segmentation has raised increasing interests...
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08/06/2021
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
Existing domain adaptation methods for crowd counting view each crowd im...
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08/06/2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Labeling is onerous for crowd counting as it should annotate each indivi...
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08/05/2021
Unifying Global-Local Representations in Salient Object Detection with Transformer
The fully convolutional network (FCN) has dominated salient object detec...
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07/29/2021
From Continuity to Editability: Inverting GANs with Consecutive Images
Existing GAN inversion methods are stuck in a paradox that the inverted ...
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06/23/2021
Co-advise: Cross Inductive Bias Distillation
Transformers recently are adapted from the community of natural language...
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03/31/2021
Smart Scribbles for Image Mating
Image matting is an ill-posed problem that usually requires additional u...
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08/31/2020
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
This paper proposes a novel pretext task to address the self-supervised ...
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07/20/2020
TENet: Triple Excitation Network for Video Salient Object Detection
In this paper, we propose a simple yet effective approach, named Triple ...
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06/09/2020
Over-crowdedness Alert! Forecasting the Future Crowd Distribution
In recent years, vision-based crowd analysis has been studied extensivel...
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05/18/2020
Context-aware and Scale-insensitive Temporal Repetition Counting
Temporal repetition counting aims to estimate the number of cycles of a ...
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03/30/2020
Laplacian Denoising Autoencoder
While deep neural networks have been shown to perform remarkably well in...
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07/22/2019
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery
In this paper, we propose a novel iterative multi-task framework to comp...
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04/07/2019
Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
We address the problem of video representation learning without human-an...
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11/22/2018
Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement
We address the problem of restoring a high-resolution face image from a ...
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09/27/2018
Deformable Object Tracking with Gated Fusion
The tracking-by-detection framework receives growing attentions through ...
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04/02/2018
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection
Vision-based vehicle detection approaches achieve incredible success in ...
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11/10/2017
Egocentric Hand Detection Via Dynamic Region Growing
Egocentric videos, which mainly record the activities carried out by the...
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08/28/2017
Stylizing Face Images via Multiple Exemplars
We address the problem of transferring the style of a headshot photo to ...
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08/01/2017
Learning to Hallucinate Face Images via Component Generation and Enhancement
We propose a two-stage method for face hallucination. First, we generate...
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07/12/2016