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Dmitry Ryumin

DmitryRyumin

https://dmitryryumin.github.io

DmitryRyumin

AI & ML interests

Machine Learning and Applications, Multi-Modal Understanding

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reacted to their post with 🤝 3 days ago

🚀👌🌟 New Research Alert - ICCV 2025 (Oral)! 🌟🤌🚀 📄 Title: Understanding Co-speech Gestures in-the-wild 🔝 📝 Description: JEGAL is a tri-modal model that learns from gestures, speech and text simultaneously, enabling devices to interpret co-speech gestures in the wild. 👥 Authors: @sindhuhegde, K R Prajwal, Taein Kwon, and Andrew Zisserman 📅 Conference: ICCV, 19 – 23 Oct, 2025 | Honolulu, Hawai'i, USA 🇺🇸 📄 Paper: https://huggingface.co/papers/2503.22668 🌐 Web Page: https://www.robots.ox.ac.uk/~vgg/research/jegal 📁 Repository: https://github.com/Sindhu-Hegde/jegal 📺 Video: https://www.youtube.com/watch?v=TYFOLKfM-rM 🚀 ICCV-2023-25-Papers: https://github.com/DmitryRyumin/ICCV-2023-25-Papers 🚀 Added to the Human Modeling Section: https://github.com/DmitryRyumin/ICCV-2023-25-Papers/blob/main/sections/2025/main/human-modeling.md 📚 More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin 🔍 Keywords: #CoSpeechGestures #GestureUnderstanding #TriModalRepresentation #MultimodalLearning #AI #ICCV2025 #ResearchHighlight

reacted to their post with 🔥 3 days ago

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upvoted 3 papers 5 days ago

SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing

Paper • 2509.11265 • Published Sep 14 • 1

Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning

Paper • 2509.17971 • Published Sep 22 • 1

Tongyi DeepResearch Technical Report

Paper • 2510.24701 • Published 6 days ago • 87

upvoted 2 papers 6 days ago

Token Activation Map to Visually Explain Multimodal LLMs

Paper • 2506.23270 • Published Jun 29 • 5

LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models

Paper • 2504.14032 • Published Apr 18 • 7

upvoted 2 papers 7 days ago

Knocking-Heads Attention

Paper • 2510.23052 • Published 8 days ago • 28

E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker

Paper • 2510.22733 • Published 9 days ago • 31

upvoted a paper 8 days ago

Heavy Labels Out! Dataset Distillation with Label Space Lightening

Paper • 2408.08201 • Published Aug 15, 2024 • 21

upvoted a paper 9 days ago

AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders

Paper • 2510.19779 • Published 12 days ago • 58

upvoted 3 papers 25 days ago

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

Paper • 2510.06308 • Published 27 days ago • 52

Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer

Paper • 2510.06590 • Published 27 days ago • 70

Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Paper • 2510.03215 • Published Oct 3 • 94

upvoted 3 collections about 1 month ago

upvoted 2 papers about 1 month ago

Video models are zero-shot learners and reasoners

Paper • 2509.20328 • Published Sep 24 • 96

FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questions

Paper • 2509.17177 • Published Sep 21 • 13

upvoted 2 collections about 1 month ago

Qwen3-Omni

Collection

6 items • Updated 26 days ago • 163

Qwen3-VL

Collection

37 items • Updated 3 days ago • 365

upvoted a collection about 2 months ago

ERNIE 4.5

Collection

collection of ERNIE 4.5 models. "-Paddle" models use PaddlePaddle weights, while "-PT" models use Transformer-style PyTorch weights. • 26 items • Updated Sep 24 • 174

Dmitry Ryumin

AI & ML interests

Recent Activity

Organizations

DmitryRyumin's activity