Richard Hartley

research

∙ 07/31/2023

BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models

The rise in popularity of text-to-image generative artificial intelligen...

0 Jordan Vice, et al. ∙

research

∙ 10/08/2022

Contact-aware Human Motion Forecasting

In this paper, we tackle the task of scene-aware 3D human motion forecas...

0 Wei Mao, et al. ∙

research

∙ 12/23/2021

Manifold Learning Benefits GANs

In this paper, we improve Generative Adversarial Networks by incorporati...

32 Yao Ni, et al. ∙

research

∙ 11/30/2021

Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation

To obtain 3D annotations, we are restricted to controlled environments o...

4 Samira Kaviani, et al. ∙

research

∙ 06/16/2021

Invertible Attention

Attention has been proved to be an efficient mechanism to capture long-r...

19 Jiajun Zha, et al. ∙

research

∙ 04/11/2021

One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet

This paper proposes a simple method which solves an open problem of mult...

12 Ziang Cheng, et al. ∙

research

∙ 04/06/2021

Learning to Estimate Hidden Motions with Global Motion Aggregation

Occlusions pose a significant challenge to optical flow algorithms that ...

2 Shihao Jiang, et al. ∙

research

∙ 04/05/2021

Learning Optical Flow from a Few Matches

State-of-the-art neural network models for optical flow estimation requi...

8 Shihao Jiang, et al. ∙

research

∙ 03/25/2021

Few-shot Weakly-Supervised Object Detection via Directional Statistics

Detecting novel objects from few examples has become an emerging topic i...

4 Amirreza Shaban, et al. ∙

research

∙ 12/10/2020

Uncertainty-Aware Deep Calibrated Salient Object Detection

Existing deep neural network based salient object detection (SOD) method...

13 Jing Zhang, et al. ∙

research

∙ 12/01/2020

Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration

The dual-pixel (DP) hardware works by splitting each pixel in half and c...

5 Liyuan Pan, et al. ∙

research

∙ 10/09/2020

Deep Learning Superpixel Semantic Segmentation with Transparent Initialization and Sparse Encoder

Even though deep learning greatly improves the performance of semantic s...

0 Zhiwei Xu, et al. ∙

research

∙ 10/06/2020

RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs

Although 3D Convolutional Neural Networks (CNNs) are essential for most ...

14 Zhiwei Xu, et al. ∙

research

∙ 06/23/2020

Post-hoc Calibration of Neural Networks

Calibration of neural networks is a critical aspect to consider when inc...

23 Amir Rahimi, et al. ∙

research

∙ 06/23/2020

Calibration of Neural Networks using Splines

Calibrating neural networks is of utmost importance when employing them ...

46 Kartik Gupta, et al. ∙

research

∙ 04/01/2020

Single Image Optical Flow Estimation with an Event Camera

Event cameras are bio-inspired sensors that asynchronously report intens...

0 Liyuan Pan, et al. ∙

research

∙ 03/18/2020

In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization

Weakly Supervised Object Localization (WSOL) methods have become increas...

8 Amir Rahimi, et al. ∙

research

∙ 03/15/2020

Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks

Predicting calibrated confidence scores for multi-class deep networks is...

5 Amir Rahimi, et al. ∙

research

∙ 02/26/2020

Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization

We address the problem of joint optical flow and camera motion estimatio...

3 Shihao Jiang, et al. ∙

research

∙ 11/18/2019

Action Anticipation with RBF Kernelized Feature Mapping RNN

We introduce a novel Recurrent Neural Network-based algorithm for future...

16 Yuge Shi, et al. ∙

research

∙ 11/18/2019

Action Anticipation with RBF KernelizedFeature Mapping RNN

We introduce a novel Recurrent Neural Network-based algorithm for future...

13 Yuge Shi, et al. ∙

research

∙ 10/24/2019

Fast and Differentiable Message Passing for Stereo Vision

Despite the availability of many Markov Random Field (MRF) optimization ...

28 Zhiwei Xu, et al. ∙

research

∙ 10/18/2019

Mirror Descent View for Neural Network Quantization

Quantizing large Neural Networks (NN) while maintaining the performance ...

7 Thalaiyasingam Ajanthan, et al. ∙

research

∙ 09/30/2019

CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation

We present a new approach for a single view, image-based object pose est...

16 Kartik Gupta, et al. ∙

research

∙ 09/29/2019

Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency

The existing approaches for salient motion segmentation are unable to ex...

22 Muhammad Faisal, et al. ∙

research

∙ 09/11/2019

Deep Declarative Networks: A New Hope

We introduce a new class of end-to-end learnable models wherein data pro...

38 Stephen Gould, et al. ∙

research

∙ 04/29/2019

Learning to Find Common Objects Across Image Collections

We address the problem of finding a set of images containing a common, b...

28 Amirreza Shaban, et al. ∙

research

∙ 04/07/2019

Recovering Faces from Portraits with Auxiliary Facial Attributes

Recovering a photorealistic face from an artistic portrait is a challeng...

16 Fatemeh Shiri, et al. ∙

research

∙ 04/07/2019

Identity-preserving Face Recovery from Stylized Portraits

Given an artistic portrait, recovering the latent photorealistic face th...

18 Fatemeh Shiri, et al. ∙

research

∙ 03/12/2019

Bringing Blurry Alive at High Frame-Rate with an Event Camera

Event-based cameras can measure intensity changes (called ` events') wit...

6 Liyuan Pan, et al. ∙

research

∙ 01/22/2019

Super-Trajectories: A Compact Yet Rich Video Representation

We propose a new video representation in terms of an over-segmentation o...

0 Ijaz Akhter, et al. ∙

research

∙ 12/11/2018

Proximal Mean-field for Neural Network Quantization

Compressing large neural networks by quantizing the parameters, while ma...

0 Thalaiyasingam Ajanthan, et al. ∙

research

∙ 11/26/2018

Phase-only Image Based Kernel Estimation for Single-image Blind Deblurring

The image blurring process is generally modelled as the convolution of a...

0 Liyuan Pan, et al. ∙

research

∙ 11/26/2018

Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera

Event-based cameras can measure intensity changes (called ` events') wit...

0 Liyuan Pan, et al. ∙

research

∙ 11/22/2018

Generalized Range Moves

We consider move-making algorithms for energy minimization of multi-labe...

0 Richard Hartley, et al. ∙

research

∙ 11/02/2018

Scalable Deep k-Subspace Clustering

Subspace clustering algorithms are notorious for their scalability issue...

0 Tong Zhang, et al. ∙

research

∙ 04/16/2018

Block Mean Approximation for Efficient Second Order Optimization

Advanced optimization algorithms such as Newton method and AdaGrad benef...

0 Yao Lu, et al. ∙

research

∙ 03/29/2018

Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective

The success of current deep saliency detection methods heavily depends o...

0 Jing Zhang, et al. ∙

research

∙ 03/27/2018

Non-Linear Temporal Subspace Representations for Activity Recognition

Representations that can compactly and effectively capture the temporal ...

0 Anoop Cherian, et al. ∙

research

∙ 01/08/2018

Identity-preserving Face Recovery from Portraits

Recovering the latent photorealistic faces from their artistic portraits...

0 Fatemeh Shiri, et al. ∙

research

∙ 05/24/2017

Sequence Summarization Using Order-constrained Kernelized Feature Subspaces

Representations that can compactly and effectively capture temporal evol...

0 Anoop Cherian, et al. ∙

research

∙ 05/20/2016

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

Representing images and videos with Symmetric Positive Definite (SPD) ma...

0 Mehrtash Harandi, et al. ∙

research

∙ 07/23/2015

Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences

Quantitative analysis of the dynamics of tiny cellular and sub-cellular ...

0 Seyed Hamid Rezatofighi, et al. ∙

research

∙ 12/13/2014

Optimizing Over Radial Kernels on Compact Manifolds

We tackle the problem of optimizing over all possible positive definite ...

0 Sadeep Jayasumana, et al. ∙

research

∙ 12/13/2014

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

Symmetric Positive Definite (SPD) matrices have become popular to encode...

0 Sadeep Jayasumana, et al. ∙

research

∙ 11/30/2014

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

In this paper, we develop an approach to exploiting kernel methods with ...

0 Sadeep Jayasumana, et al. ∙

research

∙ 11/24/2014

Iteratively Reweighted Graph Cut for Multi-label MRFs with Non-convex Priors

While widely acknowledged as highly effective in computer vision, multi-...

0 Thalaiyasingam Ajanthan, et al. ∙

research

∙ 08/30/2014

Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences

This paper introduces sparse coding and dictionary learning for Symmetri...

0 Mehrtash Harandi, et al. ∙

research

∙ 07/04/2014

Expanding the Family of Grassmannian Kernels: An Embedding Perspective

Modeling videos and image-sets as linear subspaces has proven beneficial...

0 Mehrtash T. Harandi, et al. ∙

research

∙ 07/04/2014

From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices

Representing images and videos with Symmetric Positive Definite (SPD) ma...

0 Mehrtash T. Harandi, et al. ∙

Richard Hartley

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