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Speed Mentoring

The Speed Mentoring event will take place on October 1st, 2nd, and 3rd in Room Space 4, from 12:00 to 13:30. As this is a short event, we kindly ask participants to be punctual.

Students selected to participate have been informed about the day they will attend, and details regarding their participation will be printed on their conference badge, which they will need to show to access the event room.

Since the event takes place during lunchtime, lunch boxes will be provided for both students and mentors on-site.

Mentors will sit at tables (with 8-10 students each) and will hold an informal discussion on a particular topic (see a preview of the current mentors and topics below).

This is a mentor event curated by our Social Activities Chairs and is meant for networking with Senior Advisors and Industry leaders.

Please, contact the Social Activities Chairs with any questions regarding the Speed Mentoring event.

Giovanni Maria Farinella <giovanni.farinella@unict.it>,
Simone Bianco <simone.bianco@unimib.it>,
Raffaella Lanzarotti <raffaella.lanzarotti@unimi.it>.

Speed Mentoring - Final Schedule
Day 1 (Oct 1) Day 2 (Oct 2) Day 3 (Oct 3)
Name (Affiliation) Topic Name (Affiliation) Topic Name (Affiliation) Topic
Davide Moltisanti (University of Bath) Video understanding, AMA Hazel Doughty (Leiden University) AMA Abhinav Shrivastava (University of Maryland, College Park) AMA
Tolga Birdal (Imperial College London) CVML, Geometric /
Topological Deep
Learning, Academia and
Anything else in life
Andrea Fusiello (University of Udine) AMA, 3D vision, geometry, SfM Vicky Kalogeiton (Ecole Polytechnique, IP Paris) AMA
Benjamin Busam (Technical University of Munich) 3D Vision, Sensor Fusion, Practical CV, Academic & Industrial Research, StartUp Life, Anything else Dan Xu (HKUST) 2D/3D Scene Understanding, Digital Humans, Video Understanding, Open World Perception Sagie Benaim (Hebrew University) AMA, 2D/3D Generative Models, Inverse Graphics, Multimodal Learning, Transfer Learning, Academia and Anything Else
Paolo Rota (University of Trento) Multimodal Learning, Vision/Video and Language, Domain Adaptation  Dima Damen (Bristol) AMA David Fouhey (New York University) AMA, AI for Science, 3D, Humans
Aljosa Osep (NVIDIA) 3D Vision / Vision for Robotics / Visual Tracking and Video / Lidar-based Perception / Open-World Scene Understanding, AMA   Tatiana Tommasi (PoliTO) Robust and Adaptive Models, Open World Perception, AMA Richard Zhang (Adobe Research) Generative modeling, research in industry, anything else
Yu Wu (Wuhan University) Generative AI / Multi-modal learning / Video Understanding Saining Xie (NYU) AMA, representation learning, multimodal learning, diffusion Juergen Gall (University of Bonn) AMA
Holger Caesar (Motional → TU Delft) Autonomous vehicles, AMA Yuki Asano (University of Amsterdam) AMA, self-supervised learning, vision language models, PEFT, work-life-balance Georgios Pavlakos (UT Austin) AMA
Sara Beery (MIT)  AMA, Long-tailed and open-set recognition, distribution shift, multimodality, Interdisciplinary research, CV for Science, Deployable CV Juergen Gall (University of Bonn) AMA Jaesik Park (Seoul National University) 3D vision, generative models, AMA
Mathieu Aubry (IP Paris) AMA, computer vision for History, satellite imagery Lamberto Ballan (Univ. of Padova) embodied AI, open-set recognition, video understanding, work-life-balance, AMA Yanchao Yang (HKU) AMA, Embodied AI, 2D/3D Representation Leraning
Jiri Matas (CTU Prague) AMA Long Chen (HKUST) AMA Simon Niklaus (Adobe Research) AMA, large datasets, video processing, depth estimation
Nicu Sebe (Univ. of Trento) AMA Frank Wang (NTU / NVIDIA) Vision & Language, AMA Vladislav Golyanik (MPI-INF) AMA, 4D vision, quantum vision, paper writing and reviewing
Ming-Hsuan Yang (UC Merced / Google DeepMind) AMA Pascal Mettes (Uni. of Amsterdam) Hyperbolic deep learning, AMA Federica Bogo (Meta) AMA, industry vs. academia, 3D, Humans
Shaodi You (Univ. of Amsterdam) AMA Loic landrieu (IP Paris) AMA, 3D vision, Geospatial ML Shenlong Wang (UIUC) AMA, 3D Vision, Self-Driving, Simulation, Vision for robotics, Industry vs Academia
Shalini De Mello (NVIDIA Research) Digital Humans, Reality, AMA Vincent Lepetit (IP Paris) AMA, 3D vision Miaomiao Liu (Australian National University) AMA
Stella Yu (University of Michigan) AMA Xavier Giro-i-Nieto (Amazon Barcelona) AMA, 2D/3D scene understanding, Academia vs Industrial reserach Fabio Poiesi (Fondazione Bruno Kessler) AMA, 2D/3D scene understanding, Academia vs Industrial reserach
Or Litany (NVIDIA/Technion) AMA, 3D vision, diffusion models, neural fields Massimiliano Mancini (Univ. of Trento) AMA, transfer learning, academia Federico Tombari (Google) AMA
Jan van Gemert (TU Delft) AMA, fundamental empirical research in cv/dl, work/life balance, visual inductive priors Yiming Wang (FBK) robotic perception, 3D scene understanding, video understanding, AMA  Fabio Galasso (Sapienza University of Rome) AMA, research on human motion/behavior and representation learning with uncertainty, academia/industry/start-up
Olga Russakovsky (Princeton) AMA, applying to PhD programs, diversity equity & inclusion, (computer vision+HCI, +cognitive science, + social science; AI fairness; datasets) Yuchao Dai (Northwestern Polytechnical University) AMA, 3D Vision Christian Rupprecht (University of Oxford) AMA
Diane Larlus (Naver Labs Europe) AMA, visual representation learning, continual learning Shenlong Wang (UIUC) AMA, 3D Vision, Self-Driving, Simulation, Vision for robotics, Industry vs Academia Varun Jampani (Stability AI) AMA
Shenghua Gao (HKU) AMA Hengshuang Zhao (HKU) AMA Timo Bolkart (Google) AMA
Shenlong Wang (UIUC) AMA, 3D Vision, Self-Driving, Simulation, Vision for robotics, Industry vs Academia Oisin Mac Aodha PhDs in the UK, AI/CV for climate/biodiversity, 3D Vision, AMA Javier Vazquez-Corral (UAB / CVC) AMA, Academia, low-level vision, computational color, camera pipelines
Karteek Alahari (Inria) AMA, continual learning, academia in France Carsten Rother (University Heidelberg) AMA, industry vs. academia, image generation Luisa Verdoliva (UNINA) AMA, academia, image and video processing, multimedia forensics
Serge Belongie (U. Copenhagen) AMA Simone Calderara (University of Modena and Reggio Emilia) Continual learning, online learning, AMA Evan Shelhamer (Google DeepMind → UBC) AMA, adaptation and dataset shift, open source/open science, coffee
Oriane Siméoni (META) AMA, academia & industry, unsupervised 2D perception Krishna Kumar Singh (Adobe Research) AMA, generative models, multimodal models, image editing Giorgos Tolias (CTU in Prague) AMA, image retrieval, visual similarity, love about what you do
Yu-Wing Tai (Dartmouth College) AMA Liang Zheng (Australian National University) AMA Andrei Bursuc (valeo.ai) AMA, self-supervised learning, reliability and uncertainty, autonomous vehicles, industry vs. academia, work-life balance
Hilde Kuehne (Uni Tuebingen, MIT-IBM Lab) AMA, academia & industry, video understanding, multimodal learning Luca Magri (Politecnico di Milano) AMA, 3D vision, geometry, Robust fitting Fatma Güney (Koç University) AMA, self-driving, motion and tracking, 3D vision, video prediction
Gim Hee Lee (National University of Singapore) 3D Vision, PhDs in Singapore, AMA Cordelia Schmid (Inria) AMA