b'Yi-Zhe Song'

research

∙ 08/27/2023

SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation

Artificial Intelligence Generated Content (AIGC) has shown remarkable pr...

0 Zhiyu Qu, et al. ∙

research

∙ 06/19/2023

3D VR Sketch Guided 3D Shape Prototyping and Exploration

3D shape modeling is labor-intensive and time-consuming and requires yea...

0 Ling Luo, et al. ∙

research

∙ 06/05/2023

HeadSculpt: Crafting 3D Head Avatars with Text

Recently, text-guided 3D generative methods have made remarkable advance...

0 Xiao Han, et al. ∙

research

∙ 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...

0 Zhiyu Qu, et al. ∙

research

∙ 04/07/2023

ChiroDiff: Modelling chirographic data with Diffusion Models

Generative modelling over continuous-time geometric constructs, a.k.a su...

2 Ayan Das, et al. ∙

research

∙ 03/27/2023

What Can Human Sketches Do for Object Detection?

Sketches are highly expressive, inherently capturing subjective and fine...

0 Pinaki Nath Chowdhury, et al. ∙

research

∙ 03/27/2023

DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion

We propose a new formulation of temporal action detection (TAD) with den...

0 Sauradip Nag, et al. ∙

research

∙ 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...

0 Fengyin Lin, et al. ∙

research

∙ 03/24/2023

Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR

This paper advances the fine-grained sketch-based image retrieval (FG-SB...

0 Aneeshan Sain, et al. ∙

research

∙ 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...

0 Aneeshan Sain, et al. ∙

research

∙ 03/20/2023

Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings

Human sketch has already proved its worth in various visual understandin...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 03/20/2023

Picture that Sketch: Photorealistic Image Generation from Abstract Sketches

Given an abstract, deformed, ordinary sketch from untrained amateurs lik...

0 Subhadeep Koley, et al. ∙

research

∙ 03/14/2023

Data-Free Sketch-Based Image Retrieval

Rising concerns about privacy and anonymity preservation of deep learnin...

2 Abhra Chaudhuri, et al. ∙

research

∙ 03/10/2023

Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation

Target domain pseudo-labelling has shown effectiveness in unsupervised d...

0 Zhongying Deng, et al. ∙

research

∙ 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+...

0 Xiao Han, et al. ∙

research

∙ 02/15/2023

Unsupervised Hashing via Similarity Distribution Calibration

Existing unsupervised hashing methods typically adopt a feature similari...

0 Kam Woh Ng, et al. ∙

research

∙ 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 ...

0 Jijie Wu, et al. ∙

research

∙ 11/27/2022

Post-Processing Temporal Action Detection

Existing Temporal Action Detection (TAD) methods typically take a pre-pr...

0 Sauradip Nag, et al. ∙

research

∙ 11/27/2022

Multi-Modal Few-Shot Temporal Action Detection

Few-shot (FS) and zero-shot (ZS) learning are two different approaches f...

0 Sauradip Nag, et al. ∙

research

∙ 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...

0 Sen He, et al. ∙

research

∙ 10/25/2022

Learning to Augment via Implicit Differentiation for Domain Generalization

Machine learning models are intrinsically vulnerable to domain shift bet...

0 Tingwei Wang, et al. ∙

research

∙ 10/15/2022

Prediction Calibration for Generalized Few-shot Semantic Segmentation

Generalized Few-shot Semantic Segmentation (GFSS) aims to segment each i...

6 Zhihe Lu, et al. ∙

research

∙ 10/04/2022

Robust Target Training for Multi-Source Domain Adaptation

Given multiple labeled source domains and a single target domain, most e...

0 Zhongying Deng, et al. ∙

research

∙ 09/20/2022

Towards 3D VR-Sketch to 3D Shape Retrieval

Growing free online 3D shapes collections dictated research on 3D retrie...

11 Ling Luo, et al. ∙

research

∙ 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...

4 Ling Luo, et al. ∙

research

∙ 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 ...

17 Ling Luo, et al. ∙

research

∙ 09/19/2022

DifferSketching: How Differently Do People Sketch 3D Objects?

Multiple sketch datasets have been proposed to understand how people dra...

0 Chufeng Xiao, et al. ∙

research

∙ 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 ...

0 Chenjian Gao, et al. ∙

research

∙ 07/17/2022

Zero-Shot Temporal Action Detection via Vision-Language Prompting

Existing temporal action detection (TAD) methods rely on large training ...

30 Sauradip Nag, et al. ∙

research

∙ 07/17/2022

FashionViL: Fashion-Focused Vision-and-Language Representation Learning

Large-scale Vision-and-Language (V+L) pre-training for representation le...

10 Xiao Han, et al. ∙

research

∙ 07/14/2022

Semi-Supervised Temporal Action Detection with Proposal-Free Masking

Existing temporal action detection (TAD) methods rely on a large number ...

4 Sauradip Nag, et al. ∙

research

∙ 07/14/2022

Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning

Existing temporal action detection (TAD) methods rely on generating an o...

11 Sauradip Nag, et al. ∙

research

∙ 07/04/2022

Adaptive Fine-Grained Sketch-Based Image Retrieval

The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) ...

6 Ayan Kumar Bhunia, et al. ∙

research

∙ 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 ...

0 Pinaki Nath Chowdhury, et al. ∙

research

∙ 04/06/2022

UIGR: Unified Interactive Garment Retrieval

Interactive garment retrieval (IGR) aims to retrieve a target garment im...

13 Xiao Han, et al. ∙

research

∙ 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...

10 Sen He, et al. ∙

research

∙ 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...

6 Ayan Kumar Bhunia, et al. ∙

research

∙ 03/28/2022

Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval

Sketching enables many exciting applications, notably, image retrieval. ...

12 Ayan Kumar Bhunia, et al. ∙

research

∙ 03/28/2022

Partially Does It: Towards Scene-Level FG-SBIR with Partial Input

We scrutinise an important observation plaguing scene-level sketch resea...

0 Pinaki Nath Chowdhury, et al. ∙

research

∙ 03/28/2022

Sketch3T: Test-Time Training for Zero-Shot SBIR

Zero-shot sketch-based image retrieval typically asks for a trained mode...

0 Aneeshan Sain, et al. ∙

research

∙ 03/09/2022

Dynamic Instance Domain Adaptation

Most existing studies on unsupervised domain adaptation (UDA) assume tha...

0 Zhongying Deng, et al. ∙

research

∙ 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 ...

0 Pinaki Nath Chowdhury, et al. ∙

research

∙ 12/20/2021

One Sketch for All: One-Shot Personalized Sketch Segmentation

We present the first one-shot personalized sketch segmentation method. W...

4 Anran Qi, et al. ∙

research

∙ 12/13/2021

Hybrid Graph Neural Networks for Few-Shot Learning

Graph neural networks (GNNs) have been used to tackle the few-shot learn...

0 Tianyuan Yu, et al. ∙

research

∙ 12/06/2021

Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data

Despite great strides made on fine-grained visual classification (FGVC),...

0 Ruoyi Du, et al. ∙

research

∙ 12/06/2021

Making a Bird AI Expert Work for You and Me

As powerful as fine-grained visual classification (FGVC) is, responding ...

0 Dongliang Chang, et al. ∙

research

∙ 11/11/2021

Fine-Grained Image Analysis with Deep Learning: A Survey

Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...

17 Xiu-Shen Wei, et al. ∙

research

∙ 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...

0 Jiun Tian Hoe, et al. ∙

research

∙ 08/26/2021

SketchLattice: Latticed Representation for Sketch Manipulation

The key challenge in designing a sketch representation lies with handlin...

0 Yonggang Qi, et al. ∙

research

∙ 08/06/2021

Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer

A few-shot semantic segmentation model is typically composed of a CNN en...

5 Zhihe Lu, et al. ∙

Yi-Zhe Song

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