Hierarchical Label Inference for Video Classification

Nelson Nauata, Jonathan Smith, Greg Mori

Learning Person Trajectory Representations for Team Activity Analysis

Nazanin Mehrasa, Yatao Zhong, Frederick Tung +2

Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition

Zhiwei Deng, Arash Vahdat, Hexiang Hu +1

Learning Temporal Embeddings for Complex Video Analysis

Vignesh Ramanathan, Kevin Tang, Greg Mori +1

Learning a Deep ConvNet for Multi-label Classification with Partial Labels

Thibaut Durand, Nazanin Mehrasa, Greg Mori

Hierarchical Deep Temporal Models for Group Activity Recognition

Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng +2

Learning to Learn from Noisy Web Videos

Serena Yeung, Vignesh Ramanathan, Olga Russakovsky +3

Multiple Instance Learning by Discriminative Training of Markov Networks

Hossein Hajimirsadeghi, Jinling Li, Greg Mori +2

Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel

Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat +1

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

Serena Yeung, Olga Russakovsky, Ning Jin +3

Sparsely Aggregated Convolutional Networks

Ligeng Zhu, Ruizhi Deng, Michael Maire +3

Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering

Mengyao Zhai, Jiacheng Chen, Ruizhi Deng +3

Deep Structured Models For Group Activity Recognition

Zhiwei Deng, Mengyao Zhai, Lei Chen +4

Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization

Frederick Tung, Srikanth Muralidharan, Greg Mori

Deep Learning of Appearance Models for Online Object Tracking

Mengyao Zhai, Mehrsan Javan Roshtkhari, Greg Mori

LabelBank: Revisiting Global Perspectives for Semantic Segmentation

Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou +2

Discovering Human Interactions in Videos with Limited Data Labeling

Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou +4

Hierarchical Maximum-Margin Clustering

Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt +2

A Hierarchical Deep Temporal Model for Group Activity Recognition

Moustafa Ibrahim, Srikanth Muralidharan, Zhiwei Deng +2

Distribution Aware Active Learning

Arash Mehrjou, Mehran Khodabandeh, Greg Mori

A Variational Auto-Encoder Model for Stochastic Point Processes

Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand +3

Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction

Yatao Zhong, Bicheng Xu, Guang-Tong Zhou +2

Object Level Visual Reasoning in Videos

Fabien Baradel, Natalia Neverova, Christian Wolf +2

Learning Structured Inference Neural Networks with Label Relations

Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng +2

Probabilistic Video Generation using Holistic Attribute Control

Jiawei He, Andreas Lehrmann, Joseph Marino +2

Recalling Holistic Information for Semantic Segmentation

Hexiang Hu, Zhiwei Deng, Guang-tong Zhou +2

End-to-end Learning of Action Detection from Frame Glimpses in Videos

Serena Yeung, Olga Russakovsky, Greg Mori +1

Similarity-Preserving Knowledge Distillation

Frederick Tung, Greg Mori

The paper introduces a knowledge distillation method that trains a student network to preserve the pairwise similarity relationships of activations observed in a teacher network.

Pose Embeddings: A Deep Architecture for Learning to Match Human Poses

Greg Mori, Caroline Pantofaru, Nisarg Kothari +4

Active Learning for Structured Prediction from Partially Labeled Data

Mehran Khodabandeh, Zhiwei Deng, Mostafa S. Ibrahim +2

Structured Label Inference for Visual Understanding

Nelson Nauata, Hexiang Hu, Guang-Tong Zhou +3

Generic Tubelet Proposals for Action Localization

Jiawei He, Mostafa S. Ibrahim, Zhiwei Deng +1