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09/05/2023
NICE 2023 Zero-shot Image Captioning Challenge
In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...
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05/29/2023
Conditional Score Guidance for Text-Driven Image-to-Image Translation
We present a novel algorithm for text-driven image-to-image translation ...
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04/27/2023
ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding
Although 3D-aware GANs based on neural radiance fields have achieved com...
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04/04/2023
Randomized Adversarial Style Perturbations for Domain Generalization
We propose a novel domain generalization technique, referred to as Rando...
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04/04/2023
Cross-Class Feature Augmentation for Class Incremental Learning
We propose a novel class incremental learning approach by incorporating ...
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04/04/2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
A primary goal of class-incremental learning is to strike a balance betw...
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04/03/2023
Multi-Modal Representation Learning with Text-Driven Soft Masks
We propose a visual-linguistic representation learning approach within a...
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03/28/2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation
We propose a text-to-image generation algorithm based on deep neural net...
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03/28/2023
Information-Theoretic GAN Compression with Variational Energy-based Model
We propose an information-theoretic knowledge distillation approach for ...
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01/10/2023
Online Backfilling with No Regret for Large-Scale Image Retrieval
Backfilling is the process of re-extracting all gallery embeddings from ...
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08/11/2022
Towards Sequence-Level Training for Visual Tracking
Despite the extensive adoption of machine learning on the task of visual...
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07/14/2022
Multi-Level Branched Regularization for Federated Learning
A critical challenge of federated learning is data heterogeneity and imb...
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05/30/2022
Pooling Revisited: Your Receptive Field is Suboptimal
The size and shape of the receptive field determine how the network aggr...
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05/23/2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
This paper presents a novel hybrid representation learning framework for...
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04/02/2022
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
We present a novel class incremental learning approach based on deep neu...
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03/25/2022
Class-Incremental Learning for Action Recognition in Videos
We tackle catastrophic forgetting problem in the context of class-increm...
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03/25/2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
We present a meta-learning framework for weakly supervised anomaly detec...
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02/28/2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
With increasing applications of semantic segmentation, numerous datasets...
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01/10/2022
Communication-Efficient Federated Learning with Acceleration of Global Momentum
Federated learning often suffers from unstable and slow convergence due ...
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01/10/2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation
We propose an information-theoretic bias measurement technique through a...
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12/31/2021
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
We present an information-theoretic regularization technique for few-sho...
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10/31/2021
Learning Debiased and Disentangled Representations for Semantic Segmentation
Deep neural networks are susceptible to learn biased models with entangl...
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08/21/2021
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform
We propose a versatile deep image compression network based on Spatial F...
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08/06/2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Dataset bias is a critical challenge in machine learning, and its negati...
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07/15/2021
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
We propose a generative adversarial network with multiple discriminators...
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06/29/2021
Open-Set Representation Learning through Combinatorial Embedding
Visual recognition tasks are often limited to dealing with a small subse...
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05/18/2021
Exemplar-Based Open-Set Panoptic Segmentation Network
We extend panoptic segmentation to the open-world and introduce an open-...
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02/12/2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation
We propose a novel knowledge distillation approach to facilitate the tra...
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10/07/2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
We propose a local-to-global representation learning algorithm for 3D po...
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07/08/2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
We propose a simple but effective data-driven channel pruning algorithm,...
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04/16/2020
Local-Global Video-Text Interactions for Temporal Grounding
This paper addresses the problem of text-to-video temporal grounding, wh...
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01/30/2020
Weakly Supervised Instance Segmentation by Deep Multi-Task Community Learning
We present an object segmentation algorithm based on community learning ...
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11/29/2019
Towards Oracle Knowledge Distillation with Neural Architecture Search
We present a novel framework of knowledge distillation that is capable o...
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11/25/2019
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
We propose a novel meta-learning framework for real-time object tracking...
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11/21/2019
Reinforcing an Image Caption Generator Using Off-Line Human Feedback
Human ratings are currently the most accurate way to assess the quality ...
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11/18/2019
Fine-Grained Neural Architecture Search
We present an elegant framework of fine-grained neural architecture sear...
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10/23/2019
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling
We propose a novel neural architecture search algorithm via reinforcemen...
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10/03/2019
Regularizing Neural Networks via Stochastic Branch Layers
We introduce a novel stochastic regularization technique for deep neural...
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08/08/2019
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Catastrophic forgetting is a critical challenge in training deep neural ...
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07/09/2019
Learning to Optimize Domain Specific Normalization for Domain Generalization
We propose a simple but effective multi-source domain generalization tec...
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04/19/2019
Context-Aware Zero-Shot Recognition
We present a novel problem setting in zero-shot learning, zero-shot obje...
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04/08/2019
Streamlined Dense Video Captioning
Dense video captioning is an extremely challenging task since accurate a...
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10/03/2018
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
We study how to leverage off-the-shelf visual and linguistic data to cop...
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09/28/2018
Confidence Calibration in Deep Neural Networks through Stochastic Inferences
We propose a generic framework to calibrate accuracy and confidence (sco...
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08/27/2018
Real-Time MDNet
We present a fast and accurate visual tracking algorithm based on the mu...
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08/06/2018
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps
Image geolocalization is the task of identifying the location depicted i...
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08/06/2018
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
Semantic correspondence is the problem of establishing correspondences a...
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12/14/2017
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
We propose a weakly supervised temporal action localization algorithm on...
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10/14/2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Overfitting is one of the most critical challenges in deep neural networ...
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09/23/2017
