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Zsolt Kira
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Assistant Professor
Associate Director,
ML@GT
School of Interactive Computing
CODA room S1181B
Email: zkira at gatech dot edu
Follow @zsoltkira
All News
07/2021
ICCV
paper on
data-free incremental learning (no replay!)
.
07/2021
Area Chair
for ICLR and NeurIPS 2022.
06/2021
Press
for Habitat 2.0:
CNET
|
TechCrunch
|
VentureBeat
|
Wired (ME)
|
Ynet
06/2021
IROS
paper on
distributed spatial registration and perception
.
05/2021
Invited talks
at Google and Microsoft AI.
05/2021
Funding
for Phase II of the
DARPA LwLL
program.
04/2021
IJCNN
paper on
semi-supervised continual learning
.
05/2021
Funding
for Phase II of the
DARPA L2M
program.
03/2021
Two ICRA papers (one RA-L too)
on
RoboVLN
and
3D learnable region growing
!
02/2021
ICLR paper
on SoA semi-supervised object detection (~17% mAP w/ 0.5% data!) [
project
]
02/2021
Co-organizing
the CVPR workshop on
Learning from Limited and Imperfect Data (L2ID)
.
02/2021
ICLR paper
on state of art semi-supervised object detection [
paper
]
02/2021
Code
release for our FeatMatch paper [
paper
] [
code
]
10/2020
Media
on Facebook Co-Teaching Partnership:
FB
|
Engadget
| WSBTV |
Univ-Industry Engagement
10/2020
Invited Talk
at the
Workshop on Unsupervised Learning for Automated Driving
[
youtube
]
10/2020
Senior PC for IJCAI
09/2020
NeurIPS paper
on
learning with imbalanced datasets
.
08/2020
Area Chair
for ICLR 2021.
08/2020
First
OMSCS Deep Learning class
offered!
Part of Facebook in co-teaching partnership!
07/2020
Two ECCV papers
on
cyclical self-supervised grounding
and
complex data augmentation for Semi-SL
! Check out the related
workshop talk
on latter!
06/2020
CVPR invited talk
for the
Workshop on Learning w/ Limited Labels
[youtube]
. Similar talk at the
Agriculture Vision
workshop.
03/2020
Thesis defense
- Yen-Chang Hsu, the first student in RIPL, defended! Congrats!
03/2020
Thesis defense
- Chih-Yao Ma (Kevin) successfully defended his thesis. Great work!
03/2020
Area Chair
for NeurIPS 2020.
02/2020
Three CVPR papers
on group formation in distributed perception, out-of-distribution detection, and self-supervised cross-domain action segmentation! Congrats all!
01/2020
Two ICRA papers
on uncertainty-aware fusion and distributed perception!
11/2019
Thanks to Samsung
for research funding!
11/2019
Oral
AAAI paper
, congratulations Weiyu! (with
RAIL
) [
arxiv
]
11/2019
Oral IROS workshop paper
on
uncertainty-aware multi-modal fusion
[
arxiv
]
09/2019
Funding
for
DARPA LwLL
program
07/2019
Oral ICCV paper on
video domain adaptation
. Congrats Steve! [
arxiv
]
03/2019
Oral
CVPR paper
. Congrats Chih-Yao! (work with Salesforce Research)
02/2019
Dataset released
for our WACV PCB component detection paper! [
download
]
01/2019
Two ICRA/RA-L accepted papers
. Congrats Jing-Dao and Angel!
01/2019
Journal paper
on
point cloud scene understanding
01/2019
Three ICLR accepted papers
. Congrats Yen-Chang, Yen-Cheng, and Chih-Yao!
12/2018
Pytorch framework for continual/lifelong learning
released! [
github
]
11/2018
NIPS Continual Learning Workshop
paper /b>
paper
with a categorization of current scenarios and strong baselines achieving state of art (or close) on current continual learning scenarios!
11/2018
WACV paper
accepted. Congrats Albert!
10/2018
Teaching
Deep Learning
cross-listed undergraduate and graduate course.
09/2018
ONR funding
with Lu Feng (UVA), Pratap Tokekar (VT), and Ufuk Topcu (UT Austin).
09/2018
Journal
paper on TS-LSTMs
accepted
08/2018
Assistant Professor!
07/2018
Pytorch code
release for our clustering work on
github
06/2018
News article
about new
DARPA lifelong learning
project
04/2018
Blog post
about our CVPR paper
03/2018
Accepted IJCNN paper
:
Learning to Cluster for Proposal-Free Instance Segmentation
[
arxiv
]
02/2018
CVPR paper
on
Higher-Order Object Interactions for Video Understanding
.
01/2018
ICLR paper
(in top
7%
of reviews!) for Learning to Cluster
paper