journal club

Upcoming speakers, past sessions, and the organizing team.

Paper discussions and guest talks on computer vision and machine learning, with a focus on human motion and health applications. Run by Dr. Babak Taati's group at the University of Toronto, KITE, and the Vector Institute since 2019.

  • Tuesdays, 1:00–2:00 PM ET
  • Vector Institute, Schwartz Reisman Innovation Campus, 108 College St, Toronto
  • In person at Vector, with Zoom for remote attendees. The Zoom passcode is sent by email.
  • kimia.shaban@mail.utoronto.ca

Join on Zoom Join the mailing list

Weekly email with the next speaker, Zoom link and passcode.

Upcoming speakers

Nov 10, 2026
Amirhosein Javadi
Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion

ActDiff-VC is a generative video compression framework that pairs active sampling with conditional video diffusion. Rather than transmitting information for every frame, it adaptively selects keyframes from scene dynamics and represents motion with a compact set of point trajectories, and a conditional diffusion decoder reconstructs the video from these sparse signals. On standard benchmarks it reaches up to 64.6% bitrate reduction at comparable perceptual quality relative to strong learned codecs.

Minkowski Room (W1148), Vector Institute

Organizing team

Kimia Shaban

Kimia Shaban

Lead organizer
PhD student, Computer Science, University of Toronto · Vector Institute · KITE

Runs the journal club: sets the schedule, invites speakers, and keeps this page up to date. Works on computer vision and vision-language models.

Babak Taati

Babak Taati

Faculty lead
Senior Scientist, KITE Research Institute, UHN · Associate Professor, Computer Science, University of Toronto · Faculty Affiliate, Vector Institute

Holds the Barbara G. Stymiest Chair in Rehabilitation Technology Research and leads the KITE Aging Team. Hosts the journal club and keeps the long-term archive.

Vida Adeli

Vida Adeli

Former organizer
PhD candidate, Computer Science, University of Toronto · Vector Institute · KITE

Works on generative models for 3D human motion, animation, and clinical gait analysis. Organized the journal club before Kimia.

Past sessions

Sep 29, 2026
9:00 AM
Terence Leung and team , UCL / HKU
Training a humanoid robot to reproduce Parkinsonian gait from CARE-PD gait data
Jul 28, 2026
Enming Zhang
Jul 14, 2026
Andrew Fleet
RigAnyFace (NeurIPS 2025)
Jun 23, 2026
Alireza Keshavarzian
Random Representation Techniques for Time Series Forecasting
Jun 2, 2026
Andrew Peng
Apr 21, 2026
Armen and Minh
Autoresearch (karpathy/autoresearch)
Apr 14, 2026
Lucas Mercier and Anaïs Chaumeil
Human pose estimation for gait analysis
Apr 7, 2026
10:00 AM
Liang Xu
Inter-X (CVPR 2024), ReGenNet (CVPR 2024), ActFormer (ICCV 2023)
Mar 17, 2026
Amir
Face2Scene (CVPR 2025)
Jan 13, 2026
Puyin (Pauline) Li , Stanford
QuantiPhy
Nov 25, 2025
12:00 PM
Saman Motamed , INSAIT
TRAVL and Physics-IQ
Nov 25, 2025
12:00 PM
Donghoon Ahn , KAIST AI
Fine-Grained Perturbation Guidance via Attention Head Selection (NeurIPS 2025)
Sep 23, 2025
Arshak Rezvani and Maryam Mirian , UBC
DiffuseGaitNet
Aug 12, 2025
Javad
Localizing Knowledge in Diffusion Transformers
Jul 22, 2025
Diwei Wang
Gait video analysis with knowledge augmentation in a vision-language model (MICCAI 2024)
Jul 8, 2025
Muzammil
Pixel3DMM
Feb 18, 2025
Armen
What matters when building vision-language models?
Feb 4, 2025
Soroush
SynthLight
Jan 21, 2025
Ali
Scanning Trojaned Models Using OOD Samples (NeurIPS 2024); RODEO (ICML 2024)
Jan 8, 2025
Paper discussion
DiffuseMix (CVPR 2024)

Sessions from 2019 to 2024 are listed on Babak Taati's site.