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07/23/2023
Learning Navigational Visual Representations with Semantic Map Supervision
Being able to perceive the semantics and the spatial structure of the en...
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06/26/2023
PMaF: Deep Declarative Layers for Principal Matrix Features
We explore two differentiable deep declarative layers, namely least squa...
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06/24/2023
Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks
We explore conditions for when the gradient of a deep declarative node c...
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05/25/2023
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
Composed image retrieval aims to find an image that best matches a given...
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04/18/2023
GoferBot: A Visual Guided Human-Robot Collaborative Assembly System
The current transformation towards smart manufacturing has led to a grow...
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03/30/2023
Adaptive Cross Batch Normalization for Metric Learning
Metric learning is a fundamental problem in computer vision whereby a mo...
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03/29/2023
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
Composed image retrieval searches for a target image based on a multi-mo...
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03/24/2023
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
Multimodal alignment facilitates the retrieval of instances from one mod...
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03/19/2023
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
This paper addresses learning end-to-end models for time series data tha...
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03/11/2023
3DInAction: Understanding Human Actions in 3D Point Clouds
We propose a novel method for 3D point cloud action recognition. Underst...
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02/02/2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation
This work aims to assess how well a model performs under distribution sh...
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12/22/2022
Understanding and Improving the Role of Projection Head in Self-Supervised Learning
Self-supervised learning (SSL) aims to produce useful feature representa...
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12/07/2022
NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing
We present NeRFEditor, an efficient learning framework for 3D scene edit...
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11/30/2022
High-Fidelity Guided Image Synthesis with Latent Diffusion Models
Controllable image synthesis with user scribbles has gained huge public ...
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07/14/2022
On the Strong Correlation Between Model Invariance and Generalization
Generalization and invariance are two essential properties of any machin...
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03/05/2022
Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
Most existing works in vision-and-language navigation (VLN) focus on eit...
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02/24/2022
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies
Deep declarative networks and other recent related works have shown how ...
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12/03/2021
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer
Recent developments in transformer models for visual data have led to si...
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10/06/2021
A Regularized Wasserstein Framework for Graph Kernels
We propose a learning framework for graph kernels, which is theoreticall...
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08/09/2021
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
We extend the task of composed image retrieval, where an input query con...
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06/21/2021
DiGS : Divergence guided shape implicit neural representation for unoriented point clouds
Neural shape representations have recently shown to be effective in shap...
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06/10/2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Understanding classifier decision under novel environments is central to...
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01/02/2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
For robots to navigate and interact more richly with the world around th...
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12/12/2020
Fine-grained Classification via Categorical Memory Networks
Motivated by the desire to exploit patterns shared across classes, we pr...
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12/11/2020
Spatio-attentive Graphs for Human-Object Interaction Detection
We address the problem of detecting human–object interactions in images ...
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12/03/2020
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
Despite the recent advances in multiple object tracking (MOT), achieved ...
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11/26/2020
A Recurrent Vision-and-Language BERT for Navigation
Accuracy of many visiolinguistic tasks has benefited significantly from ...
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11/25/2020
How to train your conditional GAN: An approach using geometrically structured latent manifolds
Conditional generative modeling typically requires capturing one-to-many...
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10/19/2020
Language and Visual Entity Relationship Graph for Agent Navigation
Vision-and-Language Navigation (VLN) requires an agent to navigate in a ...
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10/13/2020
DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video
This paper studies the task of temporal moment localization in a long un...
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10/07/2020
Conditional Generative Modeling via Learning the Latent Space
Although deep learning has achieved appealing results on several machine...
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07/29/2020
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
Blind Perspective-n-Point (PnP) is the problem of estimating the positio...
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07/01/2020
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
The availability of a large labeled dataset is a key requirement for app...
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06/22/2020
Bidirectional Self-Normalizing Neural Networks
The problem of exploding and vanishing gradients has been a long-standin...
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05/27/2020
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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04/28/2020
Inferring Temporal Compositions of Actions Using Probabilistic Automata
This paper presents a framework to recognize temporal compositions of at...
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04/16/2020
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
One of the core components in online multiple object tracking (MOT) fram...
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04/06/2020
Sub-Instruction Aware Vision-and-Language Navigation
Vision-and-language navigation requires an agent to navigate through a r...
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03/23/2020
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares
We propose a surface fitting method for unstructured 3D point clouds. Th...
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03/17/2020
Learning to Structure an Image with Few Colors
Color and structure are the two pillars that construct an image. Usually...
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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...
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12/18/2019
Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior
In practice, conditional variational autoencoders (CVAEs) perform condit...
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12/04/2019
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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11/30/2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
Convolution is an integral operation that defines how the shape of one f...
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09/11/2019
Deep Declarative Networks: A New Hope
We introduce a new class of end-to-end learnable models wherein data pro...
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08/24/2019
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes
Existing networks directly learn feature representations on 3D point clo...
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08/20/2019
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention
This paper studies the problem of temporal moment localization in a long...
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08/02/2019
Learning Variations in Human Motion via Mix-and-Match Perturbation
Human motion prediction is a stochastic process: Given an observed seque...
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06/14/2019
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Network pruning is a promising avenue for compressing deep neural networ...
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04/29/2019