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06/14/2023
POP: Prompt Of Prompts for Continual Learning
Continual learning (CL) has attracted increasing attention in the recent...
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06/09/2023
Single-Stage Visual Relationship Learning using Conditional Queries
Research in scene graph generation (SGG) usually considers two-stage mod...
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06/04/2023
ProTeCt: Prompt Tuning for Hierarchical Consistency
Large visual-language models, like CLIP, learn generalized representatio...
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04/18/2023
SViTT: Temporal Learning of Sparse Video-Text Transformers
Do video-text transformers learn to model temporal relationships across ...
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04/12/2023
Taxonomic Class Incremental Learning
The problem of continual learning has attracted rising attention in rece...
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03/22/2023
Dense Network Expansion for Class Incremental Learning
The problem of class incremental learning (CIL) is considered. State-of-...
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03/09/2023
Toward Unsupervised Realistic Visual Question Answering
The problem of realistic VQA (RVQA), where a model has to reject unanswe...
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12/11/2022
DISCO: Adversarial Defense with Local Implicit Functions
The problem of adversarial defenses for image classification, where the ...
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11/15/2022
YORO – Lightweight End to End Visual Grounding
We present YORO - a multi-modal transformer encoder-only architecture fo...
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07/07/2022
Should All Proposals be Treated Equally in Object Detection?
The complexity-precision trade-off of an object detector is a critical p...
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06/29/2022
Meta-Learning over Time for Destination Prediction Tasks
A need to understand and predict vehicles' behavior underlies both publi...
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05/31/2022
VALHALLA: Visual Hallucination for Machine Translation
Designing better machine translation systems by considering auxiliary in...
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04/07/2022
Class-Incremental Learning with Strong Pre-trained Models
Class-incremental learning (CIL) has been widely studied under the setti...
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03/30/2022
Omni-DETR: Omni-Supervised Object Detection with Transformers
We consider the problem of omni-supervised object detection, which can u...
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10/10/2021
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
Social distancing, an essential public health measure to limit the sprea...
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08/24/2021
OOWL500: Overcoming Dataset Collection Bias in the Wild
The hypothesis that image datasets gathered online "in the wild" can pro...
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08/23/2021
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction
Much recent progress has been made in reconstructing the 3D shape of an ...
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08/22/2021
Learning of Visual Relations: The Devil is in the Tails
Significant effort has been recently devoted to modeling visual relation...
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08/12/2021
MicroNet: Improving Image Recognition with Extremely Low FLOPs
This paper aims at addressing the problem of substantial performance deg...
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05/01/2021
Semi-supervised Long-tailed Recognition using Alternate Sampling
Main challenges in long-tailed recognition come from the imbalanced data...
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05/01/2021
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition
The problem of long-tailed recognition, where the number of examples per...
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05/01/2021
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition
The problem of long-tailed recognition, where the number of examples per...
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05/01/2021
Sparse Pose Trajectory Completion
We propose a method to learn, even using a dataset where objects appear ...
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04/13/2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion
We introduce an inversion based method, denoted as IMAge-Guided model IN...
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04/08/2021
Rethinking and Improving the Robustness of Image Style Transfer
Extensive research in neural style transfer methods has shown that the c...
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03/29/2021
Robust Audio-Visual Instance Discrimination
We present a self-supervised learning method to learn audio and video re...
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03/19/2021
Dynamic Transfer for Multi-Source Domain Adaptation
Recent works of multi-source domain adaptation focus on learning a domai...
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03/15/2021
Revisiting Dynamic Convolution via Matrix Decomposition
Recent research in dynamic convolution shows substantial performance boo...
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11/24/2020
MicroNet: Towards Image Recognition with Extremely Low FLOPs
In this paper, we present MicroNet, which is an efficient convolutional ...
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11/03/2020
Learning Representations from Audio-Visual Spatial Alignment
We introduce a novel self-supervised pretext task for learning represent...
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10/22/2020
Contrastive Learning with Adversarial Examples
Contrastive learning (CL) is a popular technique for self-supervised lea...
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07/27/2020
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
Image hash codes are produced by binarizing the embeddings of convolutio...
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07/20/2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Long-tail recognition tackles the natural non-uniformly distributed data...
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05/27/2020
Few-Shot Open-Set Recognition using Meta-Learning
The problem of open-set recognition is considered. While previous approa...
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04/27/2020
Audio-Visual Instance Discrimination with Cross-Modal Agreement
We present a self-supervised learning approach to learn audio-visual rep...
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04/16/2020
SCOUT: Self-aware Discriminant Counterfactual Explanations
The problem of counterfactual visual explanations is considered. A new f...
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04/13/2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks
Low-precision networks, with weights and activations quantized to low bi...
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04/04/2020
Volumetric Attention for 3D Medical Image Segmentation and Detection
A volumetric attention(VA) module for 3D medical image segmentation and ...
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03/28/2020
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
Multiview recognition has been well studied in the literature and achiev...
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03/20/2020
Explainable Object-induced Action Decision for Autonomous Vehicles
A new paradigm is proposed for autonomous driving. The new paradigm lies...
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08/01/2019
Robust Deep Sensing Through Transfer Learning in Cognitive Radio
We propose a robust spectrum sensing framework based on deep learning. T...
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06/29/2019
NetTailor: Tuning the Architecture, Not Just the Weights
Real-world applications of object recognition often require the solution...
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06/24/2019
Efficient Multi-Domain Network Learning by Covariance Normalization
The problem of multi-domain learning of deep networks is considered. An ...
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06/24/2019
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
In object detection, the intersection over union (IoU) threshold is freq...
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05/27/2019
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes
The transfer of a neural network (CNN) trained to recognize objects to t...
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04/24/2019
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Domain adaptation for semantic image segmentation is very necessary sinc...
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04/16/2019
REPAIR: Removing Representation Bias by Dataset Resampling
Modern machine learning datasets can have biases for certain representat...
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04/09/2019
Towards Universal Object Detection by Domain Attention
Despite increasing efforts on universal representations for visual recog...
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11/22/2018
Super Diffusion for Salient Object Detection
One major branch of saliency object detection methods is diffusion-based...
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09/07/2018