Yi-Zhe Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
140
Venues
19
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
140 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music. | Hongju Su, Ke Li, Lan Yang, Honggang Zhang, Yi-Zhe Song |
| 2025 | AAAI | VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis. | Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song |
| 2025 | CVPR | FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animations. | Hmrishav Bandyopadhyay, Yi-Zhe Song |
| 2025 | CVPR | NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training. | Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou, Yi-Zhe Song |
| 2025 | CVPR | SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models. | Subhadeep Koley, Tapas Kumar Dutta, Aneeshan Sain, Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Yi-Zhe Song |
| 2025 | CVPR | CaricatureBooth: Data-Free Interactive Caricature Generation in a Photo Booth. | Zhiyu Qu, Yunqi Miao, Zhensong Zhang, Jifei Song, Jiankang Deng, Yi-Zhe Song |
| 2025 | CVPR | Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch. | Aneeshan Sain, Subhajit Maity, Pinaki Nath Chowdhury, Subhadeep Koley, Ayan Kumar Bhunia, Yi-Zhe Song |
| 2025 | ICCV | Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection. | Subhajit Maity, Ayan Kumar Bhunia, Subhadeep Koley, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song |
| 2025 | VCIP | Parameter-Efficient Adaptation of Vision-Language Models for Free-Hand Sketch Recognition. | Yifan Zhang, Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song |
| 2024 | BMVC | Enhancing Radiology Report Generation: The Impact of Locally Grounded Vision and Language Training. | Sergio Snchez Santiesteban, Muhammad Awais, Yi-Zhe Song, Josef Kittler |
| 2024 | CVPR | SketchINR: A First Look into Sketches as Implicit Neural Representations. | Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song |
| 2024 | CVPR | What Sketch Explainability Really Means for Downstream Tasks? | Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Tao Xiang, Yi-Zhe Song |
| 2024 | CVPR | Doodle Your 3D: from Abstract Freehand Sketches to Precise 3D Shapes. | Hmrishav Bandyopadhyay, Subhadeep Koley, Ayan Das, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2024 | CVPR | DemoCaricature: Democratising Caricature Generation with a Rough Sketch. | Dar-Yen Chen, Ayan Kumar Bhunia, Subhadeep Koley, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song |
| 2024 | CVPR | DemoFusion: Democratising High-Resolution Image Generation With No $$$. | Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2024 | CVPR | You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval. | Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2024 | CVPR | Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers. | Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2024 | CVPR | How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval? | Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2024 | CVPR | It's All About Your Sketch: Democratising Sketch Control in Diffusion Models. | Subhadeep Koley, Ayan Kumar Bhunia, Deeptanshu Sekhri, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2024 | CVPR | ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery. | Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang |
| 2024 | CVPR | Wired Perspectives: Multi-View Wire Art Embraces Generative AI. | Zhiyu Qu, Lan Yang, Honggang Zhang, Tao Xiang, Kaiyue Pang, Yi-Zhe Song |
| 2024 | ECCV | Do Generalised Classifiers Really Work on Human Drawn Sketches? | Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song |
| 2024 | ECCV | PartCraft: Crafting Creative Objects by Parts. | Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang |
| 2024 | ECCV | Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval. | Aneeshan Sain, Pinaki Nath Chowdhury, Subhadeep Koley, Ayan Kumar Bhunia, Yi-Zhe Song |
| 2024 | ICASSP | Improved Image Captioning Via Knowledge Graph-Augmented Models. | Sergio Snchez Santiesteban, Sara Atito, Muhammad Awais, Yi-Zhe Song, Josef Kittler |
| 2024 | ICLR | Modelling complex vector drawings with stroke-clouds. | Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya, Zhiyu Qu, Yi-Zhe Song |
| 2024 | ICLR | Scale-Adaptive Diffusion Model for Complex Sketch Synthesis. | Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song |
| 2024 | VCIP | SketchAnimator: Animate Sketch via Motion Customization of Text-to-Video Diffusion Models. | Ruolin Yang, Da Li, Honggang Zhang, Yi-Zhe Song |
| 2023 | AAAI | Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. | Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song |
| 2023 | BMVC | Sketch-based Video Object Segmentation: Benchmark and Analysis. | Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song |
| 2023 | BMVC | Unsupervised Hashing with Similarity Distribution Calibration. | Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe, Chee Seng Chan, Tianyu Zhang, Yi-Zhe Song, Tao Xiang |
| 2023 | BMVC | SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation. | Zhiyu Qu, Tao Xiang, Yi-Zhe Song |
| 2023 | CVPR | Photo Pre-Training, But for Sketch. | Ke Li, Kaiyue Pang, Yi-Zhe Song |
| 2023 | CVPR | Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings. | Ayan Kumar Bhunia, Subhadeep Koley, Amandeep Kumar, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2023 | CVPR | An Erudite Fine-Grained Visual Classification Model. | Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2023 | CVPR | Data-Free Sketch-Based Image Retrieval. | Abhra Chaudhuri, Ayan Kumar Bhunia, Yi-Zhe Song, Anjan Dutta |
| 2023 | CVPR | SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text. | Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song |
| 2023 | CVPR | What Can Human Sketches Do for Object Detection? | Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song |
| 2023 | CVPR | On-the-Fly Category Discovery. | Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2023 | CVPR | FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. | Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang |
| 2023 | CVPR | Picture that Sketch: Photorealistic Image Generation from Abstract Sketches. | Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2023 | CVPR | Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. | Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi |
| 2023 | CVPR | Post-Processing Temporal Action Detection. | Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang |
| 2023 | CVPR | SketchXAI: A First Look at Explainability for Human Sketches. | Zhiyu Qu, Yulia Gryaditskaya, Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song |
| 2023 | CVPR | CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not. | Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Subhadeep Koley, Tao Xiang, Yi-Zhe Song |
| 2023 | CVPR | Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR. | Aneeshan Sain, Ayan Kumar Bhunia, Subhadeep Koley, Pinaki Nath Chowdhury, Soumitri Chattopadhyay, Tao Xiang, Yi-Zhe Song |
| 2023 | ICCV | Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting. | Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song |
| 2023 | ICCV | Task-aware Adaptive Learning for Cross-domain Few-shot Learning. | Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2023 | ICCV | Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion. | Xiao Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang |
| 2023 | ICCV | 3D VR Sketch Guided 3D Shape Prototyping and Exploration. | Ling Luo, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Yulia Gryaditskaya |
| 2023 | ICCV | DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion. | Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang |
| 2023 | ICLR | ChiroDiff: Modelling chirographic data with Diffusion Models. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2023 | ICLR | SketchKnitter: Vectorized Sketch Generation with Diffusion Models. | Qiang Wang, Haoge Deng, Yonggang Qi, Da Li, Yi-Zhe Song |
| 2022 | AAAI | Hybrid Graph Neural Networks for Few-Shot Learning. | Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang |
| 2022 | BMVC | Robust Target Training for Multi-Source Domain Adaptation. | Zhongying Deng, Da Li, Yi-Zhe Song, Tao Xiang |
| 2022 | BMVC | Towards Unsupervised Sketch-based Image Retrieval. | Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song |
| 2022 | BMVC | Learning to Augment via Implicit Differentiation for Domain Generalization. | Tingwei Wang, Da Li, Kaiyang Zhou, Tao Xiang, Yi-Zhe Song |
| 2022 | CVPR | Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches. | Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song |
| 2022 | CVPR | Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval. | Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2022 | CVPR | Partially Does It: Towards Scene-Level FG-SBIR with Partial Input. | Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song |
| 2022 | CVPR | UIGR: Unified Interactive Garment Retrieval. | Xiao Han, Sen He, Li Zhang, Yi-Zhe Song, Tao Xiang |
| 2022 | CVPR | Style-Based Global Appearance Flow for Virtual Try-On. | Sen He, Yi-Zhe Song, Tao Xiang |
| 2022 | CVPR | Sketch3T: Test-Time Training for Zero-Shot SBIR. | Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2022 | CVPR | Finding Badly Drawn Bunnies. | Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song |
| 2022 | ECCV | Adaptive Fine-Grained Sketch-Based Image Retrieval. | Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2022 | ECCV | FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context. | Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song |
| 2022 | ECCV | SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling. | Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu |
| 2022 | ECCV | FashionViL: Fashion-Focused Vision-and-Language Representation Learning. | Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang |
| 2022 | ECCV | Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning. | Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang |
| 2022 | ECCV | Semi-supervised Temporal Action Detection with Proposal-Free Masking. | Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang |
| 2022 | ECCV | Zero-Shot Temporal Action Detection via Vision-Language Prompting. | Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang |
| 2022 | ICLR | SketchODE: Learning neural sketch representation in continuous time. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2022 | MMSP | Complex Scenario-Oriented Fine-Grained Visual Classification Platform. | Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song, Zhanyu Ma |
| 2022 | VCIP | ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation. | Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo |
| 2021 | CVPR | Cloud2Curve: Generation and Vectorization of Parametric Sketches. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2021 | CVPR | More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. | Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song |
| 2021 | CVPR | Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. | Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2021 | CVPR | MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition. | Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song |
| 2021 | CVPR | Your "Flamingo" is My "Bird": Fine-Grained, or Not. | Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo |
| 2021 | CVPR | Context-Aware Layout to Image Generation With Enhanced Object Appearance. | Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang |
| 2021 | CVPR | PQA: Perceptual Question Answering. | Yonggang Qi, Kai Zhang, Aneeshan Sain, Yi-Zhe Song |
| 2021 | CVPR | StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. | Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song |
| 2021 | ICCV | Towards the Unseen: Iterative Text Recognition by Distilling from Errors. | Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song |
| 2021 | ICCV | Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation. | Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song |
| 2021 | ICCV | Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition. | Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song |
| 2021 | ICCV | Disentangled Lifespan Face Synthesis. | Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang |
| 2021 | ICCV | Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. | Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang |
| 2021 | ICCV | SketchLattice: Latticed Representation for Sketch Manipulation. | Yonggang Qi, Guoyao Su, Pinaki Nath Chowdhury, Mingkang Li, Yi-Zhe Song |
| 2021 | ICCV | SketchAA: Abstract Representation for Abstract Sketches. | Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song |
| 2020 | BMVC | Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval. | Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song |
| 2020 | BMVC | SketchHealer: A Graph-to-Sequence Network for Recreating Partial Human Sketches. | Guoyao Su, Yonggang Qi, Kaiyue Pang, Jie Yang, Yi-Zhe Song |
| 2020 | CVPR | Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. | Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | CVPR | Stochastic Classifiers for Unsupervised Domain Adaptation. | Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang |
| 2020 | CVPR | Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. | Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | ECCV | BzierSketch: A Generative Model for Scalable Vector Sketches. | Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2020 | ECCV | Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches. | Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma, Yi-Zhe Song, Jun Guo |
| 2020 | ECCV | Sequential Learning for Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2020 | ICML | A Tree-Structured Decoder for Image-to-Markup Generation. | Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai |
| 2019 | AIES | AI + Art = Human. | Antonio Daniele, Yi-Zhe Song |
| 2019 | CVPR | Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval. | Sounak Dey, Pau Riba, Anjan Dutta, Josep Llads, Yi-Zhe Song |
| 2019 | CVPR | Generalising Fine-Grained Sketch-Based Image Retrieval. | Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2019 | CVPR | Generalizable Person Re-Identification by Domain-Invariant Mapping Network. | Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2019 | ICCV | Episodic Training for Domain Generalization. | Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales |
| 2019 | ICCV | Goal-Driven Sequential Data Abstraction. | Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2018 | AAAI | Learning to Generalize: Meta-Learning for Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2018 | BMVC | Semantic Embedding for Sketch-Based 3D Shape Retrieval. | Anran Qi, Yi-Zhe Song, Tao Xiang |
| 2018 | CVPR | SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. | Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo |
| 2018 | CVPR | Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. | Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | CVPR | Learning Deep Sketch Abstraction. | Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | CVPR | Learning to Sketch With Shortcut Cycle Consistency. | Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | ECCV | Universal Sketch Perceptual Grouping. | Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang |
| 2018 | ECCV | Deep Factorised Inverse-Sketching. | Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2018 | ECCV | SketchyScene: Richly-Annotated Scene Sketches. | Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang |
| 2017 | BMVC | Now You See Me: Deep Face Hallucination for Unviewed Sketches. | Conghui Hu, Da Li, Yi-Zhe Song, Timothy M. Hospedales |
| 2017 | BMVC | Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval. | Kaiyue Pang, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales |
| 2017 | BMVC | Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma. | Jifei Song, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales |
| 2017 | ICCV | Deeper, Broader and Artier Domain Generalization. | Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales |
| 2017 | ICCV | Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval. | Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2016 | BMVC | Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval. | Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Xiang Ruan |
| 2016 | CVPR | ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching. | Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li |
| 2016 | CVPR | Sketch Me That Shoe. | Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy |
| 2016 | ECCV | Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. | Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo |
| 2016 | ICIP | Sketch-based image retrieval via Siamese convolutional neural network. | Yonggang Qi, Yi-Zhe Song, Honggang Zhang, Jun Liu |
| 2016 | WACV | Fine-grained sketch-based image retrieval: The role of part-aware attributes. | Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu |
| 2015 | BMVC | Sketch-a-Net that Beats Humans. | Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2015 | CVPR | Making better use of edges via perceptual grouping. | Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy M. Hospedales, Yi Li, Jun Guo |
| 2015 | Qshine | Discovering social relationship between city regions using human mobility. | Ya-Jing Xu, Chao Xue, Gong-Fu Li, Yi-Zhe Song |
| 2014 | ACCV | Cross-Modal Face Matching: Beyond Viewed Sketches. | Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li |
| 2014 | BMVC | Intra-category sketch-based image retrieval by matching deformable part models. | Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong |
| 2014 | ISVC | One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding. | Yonggang Qi, Wei-Shi Zheng, Tao Xiang, Yi-Zhe Song, Honggang Zhang, Jun Guo |
| 2013 | BMVC | Sketch Recognition by Ensemble Matching of Structured Features. | Yi Li, Yi-Zhe Song, Shaogang Gong |
| 2013 | ICIP | Sketching by perceptual grouping. | Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song |
| 2013 | VCIP | Perceptual grouping via untangling Gestalt principles. | Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song, Zheng-Hua Tan |
| 2013 | VCIP | A multi-label classification approach for Facial Expression Recognition. | Kaili Zhao, Honggang Zhang, Mingzhi Dong, Jun Guo, Yonggang Qi, Yi-Zhe Song |
| 2010 | ECCV | Finding Semantic Structures in Image Hierarchies Using Laplacian Graph Energy. | Yi-Zhe Song, Pablo Arbelez, Peter M. Hall, Chuan Li, Anupriya Balikai |
| 2009 | ISMAR | Mobile augmented reality based 3D snapshots. | Peter Keitler, Frieder Pankratz, Bjrn Schwerdtfeger, Daniel Pustka, Wolf Rdiger, Gudrun Klinker, Christian Rauch, Anup Chathoth, John P. Collomosse, Yi-Zhe Song |
| 2008 | BMVC | Shapes Fit For Purpose. | Anupriya Balikai, Paul L. Rosin, Yi-Zhe Song, Peter M. Hall |
| 2008 | ISVC | Stable Image Descriptions Using Gestalt Principles. | Yi-Zhe Song, Peter M. Hall |
| 2008 | SSPR | Structure Is a Visual Class Invariant. | Xiao Bai, Yi-Zhe Song, Anupriya Balikai, Peter M. Hall |
| 2007 | BMVC | Learning Object Classes from Structure. | Xiao Bai, Yi-Zhe Song, Peter M. Hall |