ECCV:
The European Conference on Computer Vision (ECCV) is a biennial research conference. It is considered to be one of the top conferences in computer vision. Papers in the main technical program include high-quality, original research. Topics of interest include the following aspects of computer vision and pattern recognition (in alphabetical order):
- 3D from a single image and shape-from-x
- 3D shape modeling and processing
- Action and behavior recognition
- Adversarial learning
- Biometrics
- Body gestures and pose
- Computational photography
- Datasets and evaluation
- Detection and localization in 2D and/or 3D
- Efficient training and inference methods
- Explainable AI for CV
- Faces
- Fairness, accountability, transparency, and ethics in vision
- First person (Egocentric) vision
- Image and video manipulation detection
- Image and video retrieval
- Image and video synthesis
- Low-level and physics-based vision
- Low-shot learning
- Machine learning architectures and formulations
- Medical, biological, and cell microscopy
- Motion and tracking
- Neural generative models
- Optimization and learning methods
- Recognition and classification
- Representation learning
- Scene analysis and understanding
- Scene text and document understanding
- Segmentation, grouping, and shape
- Semi / Weak / Self / Unsupervised Learning
- Stereo, 3D from multiview and other sensors
- Transfer learning
- Video analysis and understanding
- Vision + language
- Vision + other modalities
- Vision applications and systems
- Vision for and autonomous vehicles
- Vision for robotics and embodied vision
- Visual reasoning and logical representation
Machine Learning Center at Georgia Tech:
The Machine Learning Center was founded in 2016 as an interdisciplinary research center (IRC) at the Georgia Institute of Technology. The center has grown to include over 190 affiliated faculty members and 60 Ph.D. students, all publishing at world-renowned conferences. The center aims to research and develop innovative and sustainable technologies using machine learning and artificial intelligence (AI) that serve in socially and ethically responsible ways. ML@GT’s mission is to establish a research community that leverages the Georgia Tech interdisciplinary context, trains the next generation of machine learning and AI pioneers, and is home to current leaders in machine learning and AI.
Web and Media Development:
Joshua Preston
jpreston7@gatech.edu
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