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07/31/2023
Guiding Image Captioning Models Toward More Specific Captions
Image captioning is conventionally formulated as the task of generating ...
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06/25/2023
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
The rapid identification and accurate diagnosis of breast cancer, known ...
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05/18/2023
MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
Vision-language pre-training (VLP) models have been demonstrated to be e...
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05/18/2023
Language Models Meet World Models: Embodied Experiences Enhance Language Models
While large language models (LMs) have shown remarkable capabilities acr...
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03/17/2023
Refinement for Absolute Pose Regression with Neural Feature Synthesis
Absolute Pose Regression (APR) methods use deep neural networks to direc...
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12/14/2022
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
Training a Neural Radiance Field (NeRF) without pre-computed camera pose...
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12/10/2022
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
In this paper, we propose an end-to-end Retrieval-Augmented Visual Langu...
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12/02/2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning
Swarm learning (SL) is an emerging promising decentralized machine learn...
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10/19/2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Reinforcement Learning (RL) algorithms can solve challenging control pro...
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06/28/2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Recently, introspective models like IntroVAE and S-IntroVAE have excelle...
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06/22/2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
We present the Pathways Autoregressive Text-to-Image (Parti) model, whic...
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05/04/2022
CoCa: Contrastive Captioners are Image-Text Foundation Models
Exploring large-scale pretrained foundation models is of significant int...
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04/01/2022
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching
We introduce a camera relocalization pipeline that combines absolute pos...
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12/20/2021
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Multiple medical institutions collaboratively training a model using fed...
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09/19/2021
Towards Zero-Label Language Learning
This paper explores zero-label learning in Natural Language Processing (...
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08/24/2021
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
With recent progress in joint modeling of visual and textual representat...
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07/05/2021
Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image
We propose Ray-ONet to reconstruct detailed 3D models from monocular ima...
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04/08/2021
Direct-PoseNet: Absolute Pose Regression with Photometric Consistency
We present a relocalization pipeline, which combines an absolute pose re...
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02/14/2021
NeRF–: Neural Radiance Fields Without Known Camera Parameters
This paper tackles the problem of novel view synthesis (NVS) from 2D ima...
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10/12/2020
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Massively multilingual models subsuming tens or even hundreds of languag...
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10/06/2020
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Modern multilingual models are trained on concatenated text from multipl...
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10/06/2020
Efficient Meta Lifelong-Learning with Limited Memory
Current natural language processing models work well on a single task, y...
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08/23/2020
Neighbourhood-Insensitive Point Cloud Normal Estimation Network
We introduce a novel self-attention-based normal estimation network that...
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07/23/2020
A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal
A reasonable evaluation standard underlies construction of effective dee...
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12/03/2019
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
We present FlowNet3D++, a deep scene flow estimation network. Inspired b...
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10/10/2019
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
Learning multilingual representations of text has proven a successful me...
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11/24/2018
Characterizing and Avoiding Negative Transfer
When labeled data is scarce for a specific target task, transfer learnin...
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10/14/2018
Theoretical Guarantees of Transfer Learning
Transfer learning has been proven effective when within-target labeled d...
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07/06/2018
Towards more Reliable Transfer Learning
Multi-source transfer learning has been proven effective when within-tar...
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06/05/2018
