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08/30/2023
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
We introduce Affective Visual Dialog, an emotion explanation and reasoni...
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08/23/2023
Overcoming General Knowledge Loss with Selective Parameter Finetuning
Foundation models encompass an extensive knowledge base and offer remark...
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07/21/2023
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?
This paper presents OxfordTVG-HIC (Humorous Image Captions), a large-sca...
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06/01/2023
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
Monitoring animal behavior can facilitate conservation efforts by provid...
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04/11/2023
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
In recent years, Text-to-Image (T2I) models have been extensively studie...
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04/10/2023
ImageCaptioner^2: Image Captioner for Image Captioning Bias Amplification Assessment
Most pre-trained learning systems are known to suffer from bias, which t...
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11/25/2022
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding
The 3D visual grounding task has been explored with visual and language ...
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11/19/2022
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
This paper introduces ArtELingo, a new benchmark and dataset, designed t...
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10/10/2022
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning
With the success of pretraining techniques in representation learning, a...
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06/09/2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
PointNet++ is one of the most influential neural architectures for point...
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06/09/2022
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning
World models in model-based reinforcement learning usually face unrealis...
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06/01/2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Self-supervised learning for computer vision has achieved tremendous pro...
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04/15/2022
It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection
Datasets that capture the connection between vision, language, and affec...
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03/06/2022
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
Best-of-N (BoN) Average Displacement Error (ADE)/ Final Displacement Err...
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01/06/2022
Efficiently Disentangle Causal Representations
This paper proposes an efficient approach to learning disentangled repre...
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12/29/2021
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
Videos show continuous events, yet most - if not all - video synthesis f...
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04/14/2021
Aligning Latent and Image Spaces to Connect the Unconnectable
In this work, we develop a method to generate infinite high-resolution i...
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01/19/2021
ArtEmis: Affective Language for Visual Art
We present a novel large-scale dataset and accompanying machine learning...
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11/24/2020
Adversarial Generation of Continuous Images
In most existing learning systems, images are typically viewed as 2D pix...
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10/05/2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
Understanding the relationships between biomedical terms like viruses, d...
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06/19/2020
Normalization Matters in Zero-Shot Learning
An ability to grasp new concepts from their descriptions is one of the k...
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06/15/2020
Inner Ensemble Nets
We introduce Inner Ensemble Networks (IENs) which reduce the variance wi...
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04/07/2020
Efficient long-distance relation extraction with DG-SpanBERT
In natural language processing, relation extraction seeks to rationally ...
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03/25/2020
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss
Scaling up the vocabulary and complexity of current visual understanding...
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02/27/2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Better machine understanding of pedestrian behaviors enables faster prog...
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06/06/2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Continual learning aims to learn new tasks without forgetting previously...
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04/01/2019
Creativity Inspired Zero-Shot Learning
Zero-shot learning (ZSL) aims at understanding unseen categories with no...
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03/06/2019
Semi-Supervised Few-Shot Learning with Local and Global Consistency
Learning from a few examples is a key characteristic of human intelligen...
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02/27/2019
Continual Learning with Tiny Episodic Memories
Learning with less supervision is a major challenge in artificial intell...
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12/26/2018
Exploring the Challenges towards Lifelong Fact Learning
So far life-long learning (LLL) has been studied in relatively small-sca...
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12/02/2018
Efficient Lifelong Learning with A-GEM
In lifelong learning, the learner is presented with a sequence of tasks,...
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11/30/2018
GDPP: Learning Diverse Generations Using Determinantal Point Process
Generative models have proven to be an outstanding tool for representing...
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10/17/2018
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting
Video segmentation is a challenging task that has many applications in r...
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08/08/2018
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
Individual neurons in convolutional neural networks supervised for image...
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04/27/2018
Large-Scale Visual Relationship Understanding
Large scale visual understanding is challenging, as it requires a model ...
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04/03/2018
DeSIGN: Design Inspiration from Generative Networks
Can an algorithm create original and compelling fashion designs to serve...
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01/23/2018
The Shape of Art History in the Eyes of the Machine
How does the machine classify styles in art? And how does it relate to a...
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12/04/2017
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Most existing zero-shot learning methods consider the problem as a visua...
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11/27/2017
Memory Aware Synapses: Learning what (not) to forget
Humans can learn in a continuous manner. Old rarely utilized knowledge c...
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09/04/2017
Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision
In this paper, we study learning visual classifiers from unstructured te...
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06/21/2017
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
We propose a new system for generating art. The system generates art by ...
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01/05/2017
Overlapping Cover Local Regression Machines
We present the Overlapping Domain Cover (ODC) notion for kernel machines...
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04/02/2016
Automatic Annotation of Structured Facts in Images
Motivated by the application of fact-level image understanding, we prese...
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12/31/2015
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
People typically learn through exposure to visual concepts associated wi...
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12/02/2015
Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos
We propose a new zero-shot Event Detection method by Multi-modal Distrib...
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11/16/2015
Convolutional Models for Joint Object Categorization and Pose Estimation
In the task of Object Recognition, there exists a dichotomy between the ...
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11/16/2015
Sherlock: Scalable Fact Learning in Images
We study scalable and uniform understanding of facts in images. Existing...
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06/29/2015
Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes from Unstructured Text Descriptions
In this paper we propose a framework for predicting kernelized classifie...
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03/19/2015
Learning Hypergraph-regularized Attribute Predictors
We present a novel attribute learning framework named Hypergraph-based A...
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09/26/2014