research
∙
09/05/2023
NICE 2023 Zero-shot Image Captioning Challenge
In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...
share
research
∙
08/22/2023
ConcatPlexer: Additional Dim1 Batching for Faster ViTs
Transformers have demonstrated tremendous success not only in the natura...
research
∙
08/01/2023
Advancing Beyond Identification: Multi-bit Watermark for Language Models
This study aims to proactively tackle misuse of large language models be...
research
∙
06/30/2023
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis
Neural Radiance Field (NeRF) has been a mainstream in novel view synthes...
research
∙
05/06/2023
AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion
Recent advances in diffusion models have showcased promising results in ...
research
∙
05/03/2023
Robust Natural Language Watermarking through Invariant Features
Recent years have witnessed a proliferation of valuable original natural...
research
∙
03/15/2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Active Learning (AL) and Semi-supervised Learning are two techniques tha...
research
∙
02/17/2023
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
Neural Radiance Field (NeRF) has broken new ground in the novel view syn...
research
∙
02/17/2023
MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model
One of the major challenges in multi-person pose estimation is instance-...
research
∙
11/21/2022
Unifying Vision-Language Representation Space with Single-tower Transformer
Contrastive learning is a form of distance learning that aims to learn i...
research
∙
10/12/2022
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Fashion attribute editing is a task that aims to convert the semantic at...
research
∙
10/09/2022
Towards Efficient Neural Scene Graphs by Learning Consistency Fields
Neural Radiance Fields (NeRF) achieves photo-realistic image rendering f...
research
∙
09/29/2022
Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation
Object removal and image inpainting in facial images is a task in which ...
research
∙
07/29/2022
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis
The capacity to learn incrementally from an online stream of data is an ...
research
∙
07/20/2022
Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box
Most existing domain adaptive object detection methods exploit adversari...
research
∙
05/18/2022
Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching
Recent end-to-end multi-object detectors simplify the inference pipeline...
research
∙
04/29/2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling
Recent advances in federated learning have demonstrated its promising ca...
research
∙
04/14/2022
Imposing Consistency for Optical Flow Estimation
Imposing consistency through proxy tasks has been shown to enhance data-...
research
∙
03/29/2022
MatteFormer: Transformer-Based Image Matting via Prior-Tokens
In this paper, we propose a transformer-based image matting model called...
research
∙
03/15/2022
Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation
A well-designed strong-weak augmentation strategy and the stable teacher...
research
∙
03/03/2022
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
Word-level adversarial attacks have shown success in NLP models, drastic...
research
∙
11/25/2021
Self-Distilled Self-Supervised Representation Learning
State-of-the-art frameworks in self-supervised learning have recently sh...
research
∙
11/23/2021
Smoothing the Generative Latent Space with Mixup-based Distance Learning
Producing diverse and realistic images with generative models such as GA...
research
∙
11/22/2021
Local-Selective Feature Distillation for Single Image Super-Resolution
Recent improvements in convolutional neural network (CNN)-based single i...
research
∙
11/22/2021
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
Many recent semi-supervised learning (SSL) studies build teacher-student...
research
∙
11/11/2021
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
While hand pose estimation is a critical component of most interactive e...
research
∙
10/21/2021
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation
"Self-training" has become a dominant method for semantic segmentation v...
research
∙
10/07/2021
Self-Evolutionary Optimization for Pareto Front Learning
Multi-task learning (MTL), which aims to improve performance by learning...
research
∙
09/16/2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Few-shot object detection aims to detect instances of specific categorie...
research
∙
09/10/2021
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
With the growth of deep neural networks (DNN), the number of DNN paramet...
research
∙
07/28/2021
Normalization Matters in Weakly Supervised Object Localization
Weakly-supervised object localization (WSOL) enables finding an object u...
research
∙
06/25/2021
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
As edge devices become prevalent, deploying Deep Neural Networks (DNN) o...
research
∙
05/03/2021
LFI-CAM: Learning Feature Importance for Better Visual Explanation
Class Activation Mapping (CAM) is a powerful technique used to understan...
research
∙
03/25/2021
Prototype-based Personalized Pruning
Nowadays, as edge devices such as smartphones become prevalent, there ar...
research
∙
03/17/2021
The Invertible U-Net for Optical-Flow-free Video Interframe Generation
Video frame interpolation is the task of creating an interface between t...
research
∙
02/25/2021
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation
We propose a novel method that tackles the problem of unsupervised domai...
research
∙
02/19/2021
Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer
The BERT model has shown significant success on various natural language...
research
∙
12/21/2020
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
Current state-of-the-art approaches for Semi-supervised Video Object Seg...
research
∙
11/25/2020
StyleUV: Diverse and High-fidelity UV Map Generative Model
Reconstructing 3D human faces in the wild with the 3D Morphable Model (3...
research
∙
11/09/2020
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss
Semi-supervised video object segmentation (semi-VOS) is widely used in m...
research
∙
10/20/2020
Asynchronous Edge Learning using Cloned Knowledge Distillation
With the increasing demand for more and more data, the federated learnin...
research
∙
09/17/2020
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA
Video Question Answering (Video QA) requires fine-grained understanding ...
research
∙
09/09/2020
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective
To put a state-of-the-art neural network to practical use, it is necessa...
research
∙
07/27/2020
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
Data augmentation has greatly contributed to improving the performance i...
research
∙
07/21/2020
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations
We propose a novel framework for training neural networks which is capab...
research
∙
07/10/2020
SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
3D hand pose estimation based on RGB images has been studied for a long ...
research
∙
06/03/2020
Interpolation-based semi-supervised learning for object detection
Despite the data labeling cost for the object detection tasks being subs...
research
∙
05/22/2020
KL-Divergence-Based Region Proposal Network for Object Detection
The learning of the region proposal in object detection using the deep n...
research
∙
05/22/2020
Position-based Scaled Gradient for Model Quantization and Sparse Training
We propose the position-based scaled gradient (PSG) that scales the grad...
research
∙
04/20/2020