Andrew Melnik
For a thesis co-supervision or internship opportunities contact me via [email protected]
Some internship funding options I can support:
DAAD Working Internships in Science and Engineering (WISE)
https://daad.de/go/en/stipa50015295
Erasmus+
https://erasmus-plus.ec.europa.eu/opportunities/opportunities-for-individuals/students/traineeships-abroad-for-students
DAAD Research Grants – Doctoral Programmes in Germany
https://daad.de/go/en/stipa57135739
DAAD Graduate School Scholarship Programme (GSSP)
https://daad.de/go/en/stipa57034100
Matthias Nießner - ICCV-25 - A Digital Twin is All you Need
Lei Li - ICCV-25 - Learning Interactable 3D Worlds
Jiajun Wu - ICCV-25 - Two Paradigms for Building Digital Twins
Marc Pollefeys - ICCV-25 - 3D Spatial AI
Katerina Fragkiadaki - ICCV-25 - Using and Improving Digital Twins for Robot Learning and Bench...
Manolis Savva - ICCV-25 - Towards realistic & interactive 3D simulation for embodied AI
Describe, Explain, Plan and Select [part 2]
Describe, Explain, Plan and Select [part 1]
BERT (language model). How to train BERT?
ChatGPT simply put how does it work?
CLIP Interrogator [explained] What a good prompt might be to create new images like an existing one?
MineCLIP: Foundation Model for MineDojo (Minecraft). #mineclip #minedojo #minecraft
#minerl #vpt Learning to play Minecraft with Video PreTraining (VPT) - Part 2
CLIP: Connecting text and images
#minerl #vpt Learning to play Minecraft with Video PreTraining (VPT) - Part 1
Editing Face Images with StyleGAN
The ultimate use of AI
MyStyle: A Personalized Generative Prior [Explained]
StyleGAN3 [Explained]: Alias-Free Generative Adversarial Networks
(GPEN) GAN Prior Embedded Network for Blind Face Restoration in the Wild
Long Horizon Visual Planning with Goal Conditioned Hierarchical Predictors
Differentiable Physics and Stable Modes for Tool Use and Manipulation Planning
Critic Guided Segmentation of Rewarding Objects in First-Person Views
Semi-Parametric Topological Memory for Navigation (SPTM)
Deep Q-Network & Dueling network architectures for deep reinforcement learning