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09/04/2023
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras
Intelligent transportation systems (ITS) have revolutionized modern road...
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09/01/2023
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding
Object proposal generation serves as a standard pre-processing step in V...
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07/18/2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization
Generalizing to unseen image domains is a challenging problem primarily ...
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06/07/2023
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
The rapid advancement of generative models, facilitating the creation of...
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06/07/2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
The ability to understand visual concepts and replicate and compose thes...
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06/01/2023
End-to-end Knowledge Retrieval with Multi-modal Queries
We investigate knowledge retrieval with multi-modal queries, i.e. querie...
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05/31/2023
CAROM Air – Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos
Road traffic scene reconstruction from videos has been desirable by road...
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04/17/2023
Attributing Image Generative Models using Latent Fingerprints
Generative models have enabled the creation of contents that are indisti...
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03/30/2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling
In this work, we present a data poisoning attack that confounds machine ...
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11/07/2022
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering
Videos often capture objects, their visible properties, their motion, an...
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07/15/2022
Reasoning about Actions over Visual and Linguistic Modalities: A Survey
'Actions' play a vital role in how humans interact with the world and en...
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06/29/2022
Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic
Automated vehicles (AV) heavily depend on robust perception systems. Cur...
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04/28/2022
Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos
In videos that contain actions performed unintentionally, agents do not ...
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04/27/2022
SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks
This paper follows cognitive studies to investigate a graph representati...
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02/17/2022
Attributable-Watermarking of Speech Generative Models
Generative models are now capable of synthesizing images, speeches, and ...
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12/09/2021
Injecting Semantic Concepts into End-to-End Image Captioning
Tremendous progress has been made in recent years in developing better i...
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09/16/2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns
Recent studies demonstrated the vulnerability of control policies learne...
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06/02/2021
SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis
The open-ended nature of visual captioning makes it a challenging area f...
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04/13/2021
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images
Most existing research on visual question answering (VQA) is limited to ...
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04/05/2021
Compressing Visual-linguistic Model via Knowledge Distillation
Despite exciting progress in pre-training for visual-linguistic (VL) rep...
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04/02/2021
CAROM – Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures
Traffic monitoring cameras are powerful tools for traffic management and...
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01/12/2021
SEED: Self-supervised Distillation For Visual Representation
This paper is concerned with self-supervised learning for small models. ...
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12/04/2020
Self-Supervised VQA: Answering Visual Questions using Images and Captions
Methodologies for training VQA models assume the availability of dataset...
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10/27/2020
Decentralized Attribution of Generative Models
There have been growing concerns regarding the fabrication of contents t...
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09/18/2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering
While progress has been made on the visual question answering leaderboar...
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07/13/2020
Low to High Dimensional Modality Hallucination using Aggregated Fields of View
Real-world robotics systems deal with data from a multitude of modalitie...
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06/21/2020
Weak Supervision and Referring Attention for Temporal-Textual Association Learning
A system capturing the association between video frames and textual quer...
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05/15/2020
Resisting the Distracting-factors in Pedestrian Detection
Pedestrian detection has been heavily studied in the last decade due to ...
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05/15/2020
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
Person search by natural language aims at retrieving a specific person i...
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05/08/2020
Learning hierarchical behavior and motion planning for autonomous driving
Learning-based driving solution, a new branch for autonomous driving, is...
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05/01/2020
Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge
Existing question answering datasets mostly contain homogeneous contexts...
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04/30/2020
memeBot: Towards Automatic Image Meme Generation
Image memes have become a widespread tool used by people for interacting...
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04/13/2020
Enabling Incremental Knowledge Transfer for Object Detection at the Edge
Object detection using deep neural networks (DNNs) involves a huge amoun...
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03/11/2020
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning
Captioning is a crucial and challenging task for video understanding. In...
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02/26/2020
From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)
Visual Indoor Navigation (VIN) task has drawn increasing attentions from...
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02/19/2020
VQA-LOL: Visual Question Answering under the Lens of Logic
Logical connectives and their implications on the meaning of a natural l...
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10/21/2019
Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient
Textual distractors in current multi-choice VQA datasets are not challen...
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09/05/2019
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA
Nowadays most research in visual recognition using Convolutional Neural ...
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06/24/2019
Integrating Knowledge and Reasoning in Image Understanding
Deep learning based data-driven approaches have been successfully applie...
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05/28/2019
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs
The process of identifying changes or transformations in a scene along w...
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05/15/2019
Fluorescence Image Histology Pattern Transformation using Image Style Transfer
Confocal laser endomicroscopy (CLE) allow on-the-fly in vivo intraoperat...
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04/19/2019
Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework
Given a mapped environment, we formulate the problem of visually trackin...
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04/07/2019
Modularized Textual Grounding for Counterfactual Resilience
Computer Vision applications often require a textual grounding module wi...
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03/04/2019
TKD: Temporal Knowledge Distillation for Active Perception
Deep neural networks based methods have been proved to achieve outstandi...
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02/09/2019
Image Decomposition and Classification through a Generative Model
We demonstrate in this paper that a generative model can be designed to ...
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01/31/2019
Improving Model Robustness with Transformation-Invariant Attacks
Vulnerability of neural networks under adversarial attacks has raised se...
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01/28/2019
How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving
While intelligence of autonomous vehicles (AVs) has significantly advanc...
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12/10/2018
Spatial Knowledge Distillation to aid Visual Reasoning
For tasks involving language and vision, the current state-of-the-art me...
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09/21/2018
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment
We study the problem of learning a generalizable action policy for an in...
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07/30/2018