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08/27/2023
SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation
Artificial Intelligence Generated Content (AIGC) has shown remarkable pr...
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06/19/2023
3D VR Sketch Guided 3D Shape Prototyping and Exploration
3D shape modeling is labor-intensive and time-consuming and requires yea...
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06/05/2023
HeadSculpt: Crafting 3D Head Avatars with Text
Recently, text-guided 3D generative methods have made remarkable advance...
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04/23/2023
SketchXAI: A First Look at Explainability for Human Sketches
This paper, for the very first time, introduces human sketches to the la...
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04/07/2023
ChiroDiff: Modelling chirographic data with Diffusion Models
Generative modelling over continuous-time geometric constructs, a.k.a su...
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03/27/2023
What Can Human Sketches Do for Object Detection?
Sketches are highly expressive, inherently capturing subjective and fine...
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03/27/2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
We propose a new formulation of temporal action detection (TAD) with den...
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03/25/2023
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
This paper studies the problem of zero-short sketch-based image retrieva...
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03/24/2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
This paper advances the fine-grained sketch-based image retrieval (FG-SB...
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03/23/2023
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not
In this paper, we leverage CLIP for zero-shot sketch based image retriev...
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03/20/2023
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings
Human sketch has already proved its worth in various visual understandin...
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03/20/2023
Picture that Sketch: Photorealistic Image Generation from Abstract Sketches
Given an abstract, deformed, ordinary sketch from untrained amateurs lik...
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03/14/2023
Data-Free Sketch-Based Image Retrieval
Rising concerns about privacy and anonymity preservation of deep learnin...
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03/10/2023
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation
Target domain pseudo-labelling has shown effectiveness in unsupervised d...
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03/04/2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
In the fashion domain, there exists a variety of vision-and-language (V+...
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02/15/2023
Unsupervised Hashing via Similarity Distribution Calibration
Existing unsupervised hashing methods typically adopt a feature similari...
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11/30/2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
The main challenge for fine-grained few-shot image classification is to ...
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11/27/2022
Post-Processing Temporal Action Detection
Existing Temporal Action Detection (TAD) methods typically take a pre-pr...
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11/27/2022
Multi-Modal Few-Shot Temporal Action Detection
Few-shot (FS) and zero-shot (ZS) learning are two different approaches f...
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11/19/2022
Single Stage Multi-Pose Virtual Try-On
Multi-pose virtual try-on (MPVTON) aims to fit a target garment onto a p...
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10/25/2022
Learning to Augment via Implicit Differentiation for Domain Generalization
Machine learning models are intrinsically vulnerable to domain shift bet...
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10/15/2022
Prediction Calibration for Generalized Few-shot Semantic Segmentation
Generalized Few-shot Semantic Segmentation (GFSS) aims to segment each i...
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10/04/2022
Robust Target Training for Multi-Source Domain Adaptation
Given multiple labeled source domains and a single target domain, most e...
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09/20/2022
Towards 3D VR-Sketch to 3D Shape Retrieval
Growing free online 3D shapes collections dictated research on 3D retrie...
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09/20/2022
Fine-Grained VR Sketching: Dataset and Insights
We present the first fine-grained dataset of 1,497 3D VR sketch and 3D s...
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09/19/2022
Structure-Aware 3D VR Sketch to 3D Shape Retrieval
We study the practical task of fine-grained 3D-VR-sketch-based 3D shape ...
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09/19/2022
DifferSketching: How Differently Do People Sketch 3D Objects?
Multiple sketch datasets have been proposed to understand how people dra...
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08/14/2022
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling
Reconstructing a 3D shape based on a single sketch image is challenging ...
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07/17/2022
Zero-Shot Temporal Action Detection via Vision-Language Prompting
Existing temporal action detection (TAD) methods rely on large training ...
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07/17/2022
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
Large-scale Vision-and-Language (V+L) pre-training for representation le...
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07/14/2022
Semi-Supervised Temporal Action Detection with Proposal-Free Masking
Existing temporal action detection (TAD) methods rely on a large number ...
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07/14/2022
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning
Existing temporal action detection (TAD) methods rely on generating an o...
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07/04/2022
Adaptive Fine-Grained Sketch-Based Image Retrieval
The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) ...
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04/25/2022
SceneTrilogy: On Scene Sketches and its Relationship with Text and Photo
We for the first time extend multi-modal scene understanding to include ...
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04/06/2022
UIGR: Unified Interactive Garment Retrieval
Interactive garment retrieval (IGR) aims to retrieve a target garment im...
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04/03/2022
Style-Based Global Appearance Flow for Virtual Try-On
Image-based virtual try-on aims to fit an in-shop garment into a clothed...
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03/28/2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
The human visual system is remarkable in learning new visual concepts fr...
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03/28/2022
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
Sketching enables many exciting applications, notably, image retrieval. ...
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03/28/2022
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input
We scrutinise an important observation plaguing scene-level sketch resea...
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03/28/2022
Sketch3T: Test-Time Training for Zero-Shot SBIR
Zero-shot sketch-based image retrieval typically asks for a trained mode...
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03/09/2022
Dynamic Instance Domain Adaptation
Most existing studies on unsupervised domain adaptation (UDA) assume tha...
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03/04/2022
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context
We advance sketch research to scenes with the first dataset of freehand ...
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12/20/2021
One Sketch for All: One-Shot Personalized Sketch Segmentation
We present the first one-shot personalized sketch segmentation method. W...
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12/13/2021
Hybrid Graph Neural Networks for Few-Shot Learning
Graph neural networks (GNNs) have been used to tackle the few-shot learn...
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12/06/2021
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Despite great strides made on fine-grained visual classification (FGVC),...
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12/06/2021
Making a Bird AI Expert Work for You and Me
As powerful as fine-grained visual classification (FGVC) is, responding ...
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11/11/2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...
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09/29/2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
A deep hashing model typically has two main learning objectives: to make...
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08/26/2021
SketchLattice: Latticed Representation for Sketch Manipulation
The key challenge in designing a sketch representation lies with handlin...
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08/06/2021