13- 6 Kai will present Self-supervised learning of visual features through embedding images into text topic spaces (CVPR2017)

Chenshen will present his latest research.

30-5 CVPR Meeting: Lu will present VITON: An Image-based Virtual Try-on Network

Chenshen will present Unsupervised Feature Learning via Non-Parametric Instance Discrimination

Fei will present Context-aware Synthesis for Video Frame Interpolation

Laura will present Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models

25-5 Profesor Henry Medeiros gives a talk in the group: Applications of Semantic Image Segmentation in Agricultural Automation and Assisted Living Environments

23-5 Carola will present: Weakly Supervised Salient Object Detection Using Image Labels

Oguz will present: Learning Attribute Representations With Localization for Flexible Fashion Search

Lichao will present: Fast and Accurate Online Video Object Segmentation via Tracking Parts

11-5 Lu will discuss here submission to BMVC.

2-5 Luis will present ‘FiLM: Visual Reasoning with a General Conditioning Layer’ and Abel will present ‘Multimodal Unsupervised Image-to-Image Translation‘.

18-4 CVC CVPR meeting (Abel, Xialei, Yaxing, Javier)

5-4 Yaxing presented his submission to ECCV.

21-3 ICLR seminars: Talk 1: Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks, by Victor Campos, Talk 2: Graph Attention Networks, by Guillem Cucurull

7-3 Xialei presents Learning to Segment Every Thing

21-2 Marc presents BIER – Boosting Independent Embeddings Robustly


7-2 Javad presents Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy

31-1 Bogdan presents Photographic Image Synthesis with Cascaded Refinement Networks

25-1 Aitor presents ‘Learning to Synthesize a 4D RGBD Light Field from a Single Image‘ (ICCV)

17-1 Abel represents his work and we will discuss: Unsupervised Creation of Parameterized Avatars

12-1 Jan van Gemert presents a seminar.


20-12 Luis will present ‘progressive growing of GANs’

15-12 Abel will present: Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts

and Lu will present: Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search

5-12 Fei will present Optical Flow with Semantic Segmentation and Localized Layers

30-11 Chenshen presents NIPS 2017: ‘Continual Learning with Deep Generative Replay’

and Kai will be present ACM-MM ‘Fluency-Guided Cross-Lingual Image Captioning’

24-11 Xialei and Yaxing present their work.

7-11 Deeper, Broader and Artier Domain Generalization

18-10 Presentation from Marco Buzzelli on his thesis research sofar.

11-10 Xialei on learning without forgetting

6-10 Marc on New Pattern Discovery

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