RT @ExplainableML: 🎓PhD Spotlight: Thomas Hummel. A spotlight on our one and only @hummelth_ , who will defend his PhD on 23rd June! 🎉. Tho….

RT @eccvconf: The list of #ECCV2024 Outstanding Reviewers! Thank you for your service 🫡.

What do you want to know?.

Juggling my PhD work and reviewing isn't always easy, but super happy to be recognized for this!.

This was a joint work with Otniel-Bogdan Mercea (@MerceaOtniel), A. Sophia Koepke and Zeynep Akata (@zeynepakata). You can find paper, code and more on our project page! (4/4).

Our method ReGaDa uses a residual gating mechanism to explicitly exploit the compositionality of adverbs and actions when learning text representations. ReGaDa outperforms all prior works on the video-adverb retrieval tasks, setting the new state of the art! (3/4)

In our work, we aim to better understand how actions are being performed 🧐.In addition to recognising actions, it is also useful to understand details about their execution (e.g. slowly vs. quickly). We tackle this problem as a video-adverb retrieval task 🤖 (2/4)

Excited to share that I'll be presenting our work on "Video-adverb retrieval with compositional adverb-action embeddings" as an Oral today in beautiful Aberdeen at #BMVC2023 @BMVCconf! 🎉(1/4).

Come talk to me at our poster today at #GCPR2023 to dive into the details 🚀 . In this work, we propose a novel few-shot audio-visual classification benchmark and a text-to-feature diffusion framework to augment the training!.

RT @ExplainableML: Interested in XAI? Do not miss the Explainability in ML workshop! . It will take place March 28-29 in Tübingen (Germany)….

Come stop by our poster this afternoon (1.B-101) if you want to talk with us about audio-visual ZSL! We show that our temporal and cross-modal constrained attention mechanism outperforms previous work on three audio-visual GZSL benchmarks!. #ECCV2022.