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Any-Shot Object Detection
Previous work on novel object detection considers zero or few-shot setti...
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Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
The existing approaches for salient motion segmentation are unable to ex...
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Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene
This work addresses the task of dense 3D reconstruction of a complex dyn...
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Spectral-GANs for High-Resolution 3D Point-cloud Generation
Point-clouds are a popular choice for vision and graphics tasks due to t...
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Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion
Given dense image feature correspondences of a non-rigidly moving object...
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Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
We propose a cost volume based neural network for depth inference from m...
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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...
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See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
We introduce a novel network, called CO-attention Siamese Network (COSNe...
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Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning
Training deep reinforcement learning agents on environments with multipl...
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Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
Generation of stroke-based non-photorealistic imagery, is an important p...
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A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews
Despite the recent advances in opinion mining for written reviews, few w...
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Universal Approximation with Neural Intensity Point Processes
We propose a class of neural network models that universally approximate...
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Local Gradients Smoothing: Defense against localized adversarial attacks
Deep neural networks (DNNs) have shown vulnerability to adversarial atta...
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A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene
Despite the recent success in per-frame monocular dense depth estimation...
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Strong Asymptotic Optimality in General Environments
Reinforcement Learning agents are expected to eventually perform well. T...
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Face Hallucination with Finishing Touches
Obtaining a high-quality frontal face image from a low-resolution (LR) n...
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In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization
Weakly Supervised Object Localization (WSOL) methods have become increas...
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Semi-Siamese Training for Shallow Face Learning
Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...
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Partially-Supervised Image Captioning
Image captioning models are becoming increasingly successful at describi...
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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Autonomous driving has attracted remarkable attention from both industry...
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A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited
A simple prior free factorization algorithmdai2014simple is quite often ...
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Bringing Blurry Alive at High Frame-Rate with an Event Camera
Event-based cameras can measure intensity changes (called ` events') wit...
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Asymptotically Unambitious Artificial General Intelligence
General intelligence, the ability to solve arbitrary solvable problems, ...
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Deep Stochastic Attraction and Repulsion Embedding for Image Based Localization
This paper tackles the problem of large-scale image-based localization w...
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Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking
Multi-target multi-camera tracking (MTMCT) systems track targets across ...
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Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration
The dual-pixel (DP) hardware works by splitting each pixel in half and c...
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Deep Underwater Image Enhancement
In an underwater scene, wavelength-dependent light absorption and scatte...
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VIENA2: A Driving Anticipation Dataset
Action anticipation is critical in scenarios where one needs to react be...
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Spatio-Temporal Ranked-Attention Networks for Video Captioning
Generating video descriptions automatically is a challenging task that i...
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Joint learning of Social Groups, Individuals Action and Sub-group Activities in Videos
The state-of-the art solutions for human activity understanding from a v...
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Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification
Person re-identification aims to establish the correct identity correspo...
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Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics
We propose a neural network architecture, called TransNet, that combines...
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PAC-Bayesian Bound for the Conditional Value at Risk
Conditional Value at Risk (CVaR) is a family of "coherent risk measures"...
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Geometry-aware Deep Network for Single-Image Novel View Synthesis
This paper tackles the problem of novel view synthesis from a single ima...
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Dissecting Person Re-identification from the Viewpoint of Viewpoint
In person re-identification (re-ID),In person re-identification (re-ID),...
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Mosaic Super-resolution via Sequential Feature Pyramid Networks
Advances in the design of multi-spectral cameras have led to great inter...
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Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Cross-view geo-localization is the problem of estimating the position an...
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Simultaneous Stereo Video Deblurring and Scene Flow Estimation
Videos for outdoor scene often show unpleasant blur effects due to the l...
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Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images
Segmentation of 3D micro-Computed Tomographic uCT) images of rock sample...
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Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Network embedding aims to learn low-dimensional representations of nodes...
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A Monte Carlo AIXI Approximation
This paper introduces a principled approach for the design of a scalable...
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Probabilities on Sentences in an Expressive Logic
Automated reasoning about uncertain knowledge has many applications. One...
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A Frequency Domain Neural Network for Fast Image Super-resolution
In this paper, we present a frequency domain neural network for image su...
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DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement
Despite the recent progress in image dehazing, several problems remain l...
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Let Features Decide for Themselves: Feature Mask Network for Person Re-identification
Person re-identification aims at establishing the identity of a pedestri...
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Unified Backpropagation for Multi-Objective Deep Learning
A common practice in most of deep convolutional neural architectures is ...
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Distributed Deep Transfer Learning by Basic Probability Assignment
Transfer learning is a popular practice in deep neural networks, but fin...
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Secrets in Computing Optical Flow by Convolutional Networks
Convolutional neural networks (CNNs) have been widely used over many are...
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Soft Correspondences in Multimodal Scene Parsing
Exploiting multiple modalities for semantic scene parsing has been shown...
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Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
Estimating the 6-DoF pose of a camera from a single image relative to a ...
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