Leonid Sigal

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Disney Research ∙ The University of British Columbia

Associate Professor in the Department of Computer Science at the University of British Columbia, Senior Research Scientist at Disney Research Pittsburgh from 2010-2017, Adjunct Faculty member at Carnegie Mellon University, Postdoctoral Researcher at University of Toronto from 2007-2009, Summer Intern at Intel Corporation 2006

Featured Co-authors

Masashi Sugiyama
130 publications
Eric P Xing
114 publications
Larry S. Davis
77 publications
Kate Saenko
73 publications
Tao Xiang
63 publications
Frank Wood
53 publications
Zhi-Hua Zhou
52 publications
Shaogang Gong
50 publications
Yuan Yao
48 publications
Yanwei Fu
48 publications
Xiangyang Xue
46 publications

AttentionRNN: A Structured Spatial Attention Mechanism

Visual attention mechanisms have proven to be integrally important const...
05/22/2019 ∙ by Siddhesh Khandelwal, et al. ∙ 31 ∙ share

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Variational Hyper RNN for Sequence Modeling

In this work, we propose a novel probabilistic sequence model that excel...
02/24/2020 ∙ by Ruizhi Deng, et al. ∙ 23 ∙ share

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DwNet: Dense warp-based network for pose-guided human video generation

Generation of realistic high-resolution videos of human subjects is a ch...
10/21/2019 ∙ by Polina Zablotskaia, et al. ∙ 14 ∙ share

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Zero-Shot Generation of Human-Object Interaction Videos

Generation of videos of complex scenes is an important open problem in c...
12/05/2019 ∙ by Megha Nawhal, et al. ∙ 9 ∙ share

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Neural Sequential Phrase Grounding (SeqGROUND)

We propose an end-to-end approach for phrase grounding in images. Unlike...
03/18/2019 ∙ by Pelin Dogan, et al. ∙ 8 ∙ share

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LayoutVAE: Stochastic Scene Layout Generation from a Label Set

Recently there is an increasing interest in scene generation within the ...
07/24/2019 ∙ by Akash Abdu Jyothi, et al. ∙ 3 ∙ share

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Probabilistic Video Generation using Holistic Attribute Control

Videos express highly structured spatio-temporal patterns of visual data...
03/21/2018 ∙ by Jiawei He, et al. ∙ 2 ∙ share

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Improved Few-Shot Visual Classification

Few-shot learning is a fundamental task in computer vision that carries ...
12/07/2019 ∙ by Peyman Bateni, et al. ∙ 1 ∙ share

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Visual Reference Resolution using Attention Memory for Visual Dialog

Visual dialog is a task of answering a series of inter-dependent questio...
09/23/2017 ∙ by Paul Hongsuck Seo, et al. ∙ 0 ∙ share

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Weakly-supervised Visual Grounding of Phrases with Linguistic Structures

We propose a weakly-supervised approach that takes image-sentence pairs ...
05/03/2017 ∙ by Fanyi Xiao, et al. ∙ 0 ∙ share

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Weakly-Supervised Spatial Context Networks

We explore the power of spatial context as a self-supervisory signal for...
04/10/2017 ∙ by Zuxuan Wu, et al. ∙ 0 ∙ share

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Semi-Latent GAN: Learning to generate and modify facial images from attributes

Generating and manipulating human facial images using high-level attribu...
04/07/2017 ∙ by Weidong Yin, et al. ∙ 0 ∙ share

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Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization

Emotional content is a key element in user-generated videos. However, it...
11/16/2015 ∙ by Baohan Xu, et al. ∙ 0 ∙ share

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Learning from Synthetic Data Using a Stacked Multichannel Autoencoder

Learning from synthetic data has many important and practical applicatio...
09/17/2015 ∙ by Xi Zhang, et al. ∙ 0 ∙ share

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Learning Language-Visual Embedding for Movie Understanding with Natural-Language

Learning a joint language-visual embedding has a number of very appealin...
09/26/2016 ∙ by Atousa Torabi, et al. ∙ 0 ∙ share

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Robust Classification by Pre-conditioned LASSO and Transductive Diffusion Component Analysis

Modern machine learning-based recognition approaches require large-scale...
11/19/2015 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Semi-supervised Vocabulary-informed Learning

Despite significant progress in object categorization, in recent years, ...
04/24/2016 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web

Recently, attempts have been made to collect millions of videos to train...
12/22/2015 ∙ by Shugao Ma, et al. ∙ 0 ∙ share

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Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder

We propose a method for using synthetic data to help learning classifier...
03/11/2015 ∙ by Xi Zhang, et al. ∙ 0 ∙ share

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Hierarchical Maximum-Margin Clustering

We present a hierarchical maximum-margin clustering method for unsupervi...
02/06/2015 ∙ by Guang-Tong Zhou, et al. ∙ 0 ∙ share

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Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information

The goal of temporal alignment is to establish time correspondence betwe...
06/19/2012 ∙ by Makoto Yamada, et al. ∙ 0 ∙ share

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A Unified Semantic Embedding: Relating Taxonomies and Attributes

We propose a method that learns a discriminative yet semantic space for ...
11/18/2014 ∙ by Sung Ju Hwang, et al. ∙ 0 ∙ share

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High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso

The goal of supervised feature selection is to find a subset of input fe...
02/02/2012 ∙ by Makoto Yamada, et al. ∙ 0 ∙ share

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Learning to Generate Posters of Scientific Papers

Researchers often summarize their work in the form of posters. Posters p...
04/05/2016 ∙ by Yuting Qiang, et al. ∙ 0 ∙ share

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Joint Event Detection and Description in Continuous Video Streams

As a fine-grained video understanding task, dense video captioning invol...
02/28/2018 ∙ by Huijuan Xu, et al. ∙ 0 ∙ share

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LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH)

The alignment of heterogeneous sequential data (video to text) is an imp...
02/19/2018 ∙ by Pelin Dogan, et al. ∙ 0 ∙ share

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Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models

Researchers often summarize their work in the form of scientific posters...
02/21/2017 ∙ by Yu-ting Qiang, et al. ∙ 0 ∙ share

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Modular Generative Adversarial Networks

Existing methods for multi-domain image-to-image translation (or generat...
04/10/2018 ∙ by Bo Zhao, et al. ∙ 0 ∙ share

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Semantic Feature Augmentation in Few-shot Learning

A fundamental problem with few-shot learning is the scarcity of data in ...
04/15/2018 ∙ by Zitian Chen, et al. ∙ 0 ∙ share

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Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning

We propose a novel method capable of retrieving clips from untrimmed vid...
04/13/2018 ∙ by Huijuan Xu, et al. ∙ 0 ∙ share

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Predicting Personality from Book Preferences with User-Generated Content Labels

Psychological studies have shown that personality traits are associated ...
07/20/2017 ∙ by Ng Annalyn, et al. ∙ 0 ∙ share

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Recent Advances in Zero-shot Recognition

With the recent renaissance of deep convolution neural networks, encoura...
10/13/2017 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos

Inspired by the observation that humans are able to process videos effic...
10/01/2018 ∙ by Lili Meng, et al. ∙ 0 ∙ share

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Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective

This paper studies the problem of domain division problem which aims to ...
10/17/2018 ∙ by HanZe Dong, et al. ∙ 0 ∙ share

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Middle-Out Decoding

Despite being virtually ubiquitous, sequence-to-sequence models are chal...
10/28/2018 ∙ by Shikib Mehri, et al. ∙ 0 ∙ share

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Image Generation from Layout

Despite significant recent progress on generative models, controlled gen...
11/28/2018 ∙ by Bo Zhao, et al. ∙ 0 ∙ share

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Towards Traversing the Continuous Spectrum of Image Retrieval

Image retrieval is one of the most popular tasks in computer vision. How...
12/01/2018 ∙ by Ziad Al-Halah, et al. ∙ 0 ∙ share

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Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture

We propose a generative approach to physics-based motion capture. Unlike...
12/04/2018 ∙ by Micha Livne, et al. ∙ 0 ∙ share

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A Variational Auto-Encoder Model for Stochastic Point Processes

We propose a novel probabilistic generative model for action sequences. ...
04/05/2019 ∙ by Nazanin Mehrasa, et al. ∙ 0 ∙ share

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Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning

Multi-modal learning, particularly among imaging and linguistic modaliti...
09/22/2019 ∙ by Tanzila Rahman, et al. ∙ 0 ∙ share

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OptiBox: Breaking the Limits of Proposals for Visual Grounding

The problem of language grounding has attracted much attention in recent...
11/29/2019 ∙ by Zicong Fan, et al. ∙ 0 ∙ share

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Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction

Reconstruction of a 3D shape from a single 2D image is a classical compu...
12/23/2019 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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