Skip-Thought Vectors
We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from books, we train an encoder-decoder model that tri...
Publications
7 shownVision meets robotics: The KITTI dataset
We present a novel dataset captured from a VW station wagon for use in mobile robotics and autonomous driving research. In total, we recorded 6 hours of traffic scenarios at 10–...
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization
In this paper we propose an affordable solution to self-localization, which utilizes visual odometry and road maps as the only inputs. To this end, we present a probabilistic mo...
A generative model for 3D urban scene understanding from movable platforms
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of unders...
SGN: Sequential Grouping Networks for Instance Segmentation
In this paper, we propose Sequential Grouping Networks (SGN) to tackle the problem of object instance segmentation. SGNs employ a sequence of neural networks, each solving a sub...
Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs
Our aim is to provide a pixel-wise instance-level labeling of a monocular image in the context of autonomous driving. We build on recent work [32] that trained a convolutional n...
Monocular Object Instance Segmentation and Depth Ordering with CNNs
In this paper we tackle the problem of instance-level segmentation and depth ordering from a single monocular image. Towards this goal, we take advantage of convolutional neural...
Frequent Co-Authors
Researcher Info
- h-index
- 7
- Publications
- 7
- Citations
- 10,662
- Institution
- University of Toronto
External Links
Impact Metrics
h-index
7
h-index: Number of publications with at least h citations each.