Contact

Jose M. Alvarez,
jalvarez.research gmail

 

News & Events

vCode for Efficient Semantic Segmentation CNN is available here
NEW!
1 paper accepted in ECCV-2018
NEW!
1 paper accepted in IROS-2018
NEW!
At NVIDIA we are looking for interns for Fall 2018, Spring 2019 interested in Large Scale Deep Learning and related fields. Drop me a line for more information.
NEW!
I moved to NVIDIA.
2018
I will be Area Chair of WACV2018 and IV2018 and ITSC 2018
2018
2 paper accepted in IV-2018
2018
I will be Area Chair of WACV2018 and IV2018 and ITSC 2018
2017
1 paper accepted in NIPS 2017
2017
I have been listed as an Outstanding Reviewer by CVPR 2017
2017
2 papers accepted in ICCV2017
2017
Our research on Emotion Recognition (paper in CVPR2017) won the audience award at the Research Showcase -UOC2017-
2017
On August 10th, I will give a talk during the workshop on Machine Learning for Autonomous Driving at ICML2017
2017
Paper accepted for publication in IEEE T-ITS on Efficient Semantic Segmentation
2017
Paper accepted for publication in BMVC 2017: Class-Weighted Features for Content Based Image Retrieval
2017
Best student paper award at IEEE-IV 2017: Efficient ConvNet for Real Time Semantic Segmentation
2017
Paper accepted for publication in IEEE T-PAMI: Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation (Saleh, Aliakbarian, Salzmann, Petersson, Gould and Alvarez)
2017
Slides of my Talk at GTC2017 here
2017
1 Paper accepted for publication in CVPR 2017
2017
Paper accepted for publication in IEEE T-PAMI: Expression-Invariant Age Estimation Using Structured Learning (Zhongyu, Alnajar, Alvarez and Gevers)
2017
Paper accepted for publication in IEEE T-IV: Motion Estimation via Robust Decomposition with Constrained Rank (Ros, Alvarez and Guerrero)
2017
Guest Editor of the Special Issue on Robust & Efficient Vision Techniques for Intelligent Vehicles in IEEE Transactions on Intelligent Transportation Systems, 2016-2017
Dec 2016
Paper accepted to the NIPS 2016 Workshop on Adversarial training: Invertible Conditional GAN for image editing
Dec 2016
I will serve as Chair for the Multimedia Technology for Autonomous Vehicle track at ACM Multimedia 2017
Dec 2016
NIPS2016: Learning The Number of Neurons in Deep Networks. Code will be available soon.
Dec 2016
Real-Time Classification in Jetson Platforms up to 190fps in FP32. Class results
Oct 2016
We won the best poster award at GTCx in Melbourne.
Oct 2016
I gave a talk at GTCx in Melbourne.
Oct 2016
Videos of the DeepVision Workshop at CVPR2017 are now available here.
Jul 2016
3 papers accepted @ECCV2016, 1 paper @ ICIP16 and 1 paper @ ICPR16
Jun 2016
Our DecomposeMe Simplifying convnets for end to end learning paper is now available in arxiv
Jun 2016
Our video demo on real-time (65+fps) large scale classification in embedded platforms is now available in the demo section. This demo was presented at the NVIDIA roadshow and at Deep-Driving: Learning Representations for Intelligent Vehicles workshop
Dec 2015
I gave a talk on large scale sceene understanding in embedded platforms at the NVIDIA DeepLearning RoadShow in Canberra.
Jan 2015
KITTI layout dataset is now available for download (see Database section).
July 2014
I am serving as Associate Editor of IEEE-Trans. Intelligent Transportation Systems.
01/06/2014 Code for the traffic-aware image level road prior is now available for download.
01/01/2014 Our annotation tool is now available for download.