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 | Mathieu Aubry (IP Paris) | AMA, computer vision for History, satellite imagery | |||||||||||||||
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 | |||||||||||||||
Vicky Kalogeiton (Ecole Polytechnique, IP Paris) | AMA | 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 | Alyosha Efros (Berkeley) | AMA | Cordelia Schmid (Inria) | AMA |