research
∙
10/27/2020
Structured Visual Search via Composition-aware Learning
This paper studies visual search using structured queries. The structure...
share
research
∙
06/30/2020
Tackling Occlusion in Siamese Tracking with Structured Dropouts
Occlusion is one of the most difficult challenges in object tracking to ...
research
∙
03/18/2020
PIC: Permutation Invariant Convolution for Recognizing Long-range Activities
Neural operations as convolutions, self-attention, and vector aggregatio...
research
∙
03/09/2020
Cloth in the Wind: A Case Study of Physical Measurement through Simulation
For many of the physical phenomena around us, we have developed sophisti...
research
∙
10/17/2019
Go with the Flow: Perception-refined Physics Simulation
For many of the physical phenomena around us, we have developed sophisti...
research
∙
08/05/2019
Model Decay in Long-Term Tracking
Updating the tracker model with adverse bounding box predictions adds an...
research
∙
05/13/2019
VideoGraph: Recognizing Minutes-Long Human Activities in Videos
Many human activities take minutes to unfold. To represent them, related...
research
∙
04/02/2019
Cooperative Embeddings for Instance, Attribute and Category Retrieval
The goal of this paper is to retrieve an image based on instance, attrib...
research
∙
12/04/2018
Timeception for Complex Action Recognition
This paper focuses on the temporal aspect for recognizing human activiti...
research
∙
09/03/2018
Estimating Small Differences in Car-Pose from Orbits
Distinction among nearby poses and among symmetries of an object is chal...
research
∙
06/18/2018
Repetition Estimation
Visual repetition is ubiquitous in our world. It appears in human activi...
research
∙
03/19/2018
Featureless: Bypassing feature extraction in action categorization
This method introduces an efficient manner of learning action categories...
research
∙
03/19/2018
Asymmetric kernel in Gaussian Processes for learning target variance
This work incorporates the multi-modality of the data distribution into ...
research
∙
03/19/2018
Deja Vu: Motion Prediction in Static Images
This paper proposes motion prediction in single still images by learning...
research
∙
02/27/2018
Real-World Repetition Estimation by Div, Grad and Curl
We consider the problem of estimating repetition in video, such as perfo...
research
∙
11/28/2017
Tracking for Half an Hour
Long-term tracking requires extreme stability to the multitude of model ...
research
∙
06/02/2017
Dynamic Steerable Blocks in Deep Residual Networks
Filters in convolutional networks are typically parameterized in a pixel...
research
∙
05/05/2017
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection
Event detection in unconstrained videos is conceived as a content-based ...
research
∙
03/12/2017
Multiscale Hierarchical Convolutional Networks
Deep neural network algorithms are difficult to analyze because they lac...
research
∙
10/12/2016
Generating captions without looking beyond objects
This paper explores new evaluation perspectives for image captioning and...
research
∙
10/06/2016
Searching Scenes by Abstracting Things
In this paper we propose to represent a scene as an abstraction of 'thin...
research
∙
05/23/2016
