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08/05/2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation involves assigning pixel-wise labe...
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07/27/2023
Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models
In this paper, we study the denoising diffusion probabilistic model (DDP...
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06/26/2023
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
Despite the promising progress in multi-modal tasks, current large multi...
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06/07/2023
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
Multimodal summarization with multimodal output (MSMO) has emerged as a ...
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05/03/2023
Scheduling Network Function Chains Under Sub-Millisecond Latency SLOs
Network Function Virtualization (NFV) seeks to replace hardware middlebo...
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03/20/2023
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
We propose MM-REACT, a system paradigm that integrates ChatGPT with a po...
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02/21/2023
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
3D photography renders a static image into a video with appealing 3D vis...
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01/31/2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Semi-supervised learning (SSL) has been widely explored in recent years,...
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12/21/2022
Generalized Decoding for Pixel, Image, and Language
We present X-Decoder, a generalized decoding model that can predict pixe...
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12/01/2022
GRiT: A Generative Region-to-text Transformer for Object Understanding
This paper presents a Generative RegIon-to-Text transformer, GRiT, for o...
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11/21/2022
Exploring Discrete Diffusion Models for Image Captioning
The image captioning task is typically realized by an auto-regressive me...
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10/17/2022
Prompting GPT-3 To Be Reliable
Large language models (LLMs) show impressive abilities via few-shot prom...
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07/20/2022
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
In this paper, we present NUWA-Infinity, a generative model for infinite...
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07/03/2022
NP-Match: When Neural Processes meet Semi-Supervised Learning
Semi-supervised learning (SSL) has been widely explored in recent years,...
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06/18/2022
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation
Recently, several Bayesian deep learning methods have been proposed for ...
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06/16/2022
ALL-MASK: A Reconfigurable Logic Locking Method for Multicore Architecture with Sequential-Instruction-Oriented Key
Intellectual property (IP) piracy has become a non-negligible problem as...
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06/15/2022
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
Vision-language (VL) pre-training has recently received considerable att...
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06/07/2022
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
Leveraging large-scale data can introduce performance gains on many comp...
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05/27/2022
GIT: A Generative Image-to-text Transformer for Vision and Language
In this paper, we design and train a Generative Image-to-text Transforme...
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03/14/2022
Statistical learning for train delays and influence of winter climate and atmospheric icing
This study investigated the climate effect under consecutive winters on ...
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03/10/2022
The Overlooked Classifier in Human-Object Interaction Recognition
Human-Object Interaction (HOI) recognition is challenging due to two fac...
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12/13/2021
Decoupling Object Detection from Human-Object Interaction Recognition
We propose DEFR, a DEtection-FRee method to recognize Human-Object Inter...
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12/09/2021
Injecting Semantic Concepts into End-to-End Image Captioning
Tremendous progress has been made in recent years in developing better i...
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11/24/2021
Scaling Up Vision-Language Pre-training for Image Captioning
In recent years, we have witnessed significant performance boost in the ...
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11/23/2021
Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling
In this paper, we propose UNICORN, a vision-language (VL) model that uni...
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11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
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11/19/2021
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning
In this paper, we propose a single UniFied transfOrmer (UFO), which is c...
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11/03/2021
An Empirical Study of Training End-to-End Vision-and-Language Transformers
Vision-and-language (VL) pre-training has proven to be highly effective ...
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10/20/2021
Local Statistics for Spatial Panel Models with Application to the US Electorate
The spatial panel regression model has shown great success in modelling ...
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09/18/2021
Edge Prior Augmented Networks for Motion Deblurring on Naturally Blurry Images
Motion deblurring has witnessed rapid development in recent years, and m...
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09/10/2021
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Knowledge-based visual question answering (VQA) involves answering quest...
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08/04/2021
Train performance analysis using heterogeneous statistical models
This study investigated the effect of harsh winter climate on the perfor...
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07/27/2021
Is Object Detection Necessary for Human-Object Interaction Recognition?
This paper revisits human-object interaction (HOI) recognition at image ...
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06/18/2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Imbalanced datasets widely exist in practice and area great challenge fo...
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06/16/2021
End-to-End Semi-Supervised Object Detection with Soft Teacher
This paper presents an end-to-end semi-supervised object detection appro...
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06/05/2021
Convolutional Neural Networks with Gated Recurrent Connections
The convolutional neural network (CNN) has become a basic model for solv...
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04/05/2021
Compressing Visual-linguistic Model via Knowledge Distillation
Despite exciting progress in pre-training for visual-linguistic (VL) rep...
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03/30/2021
DAP: Detection-Aware Pre-training with Weak Supervision
This paper presents a detection-aware pre-training (DAP) approach, which...
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03/22/2021
Adversarial Feature Augmentation and Normalization for Visual Recognition
Recent advances in computer vision take advantage of adversarial data au...
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01/16/2021
Galleon: Reshaping the Square Peg of NFV
Software is often used for Network Functions (NFs) – such as firewalls, ...
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01/12/2021
SEED: Self-supervised Distillation For Visual Representation
This paper is concerned with self-supervised learning for small models. ...
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01/12/2021
LLA: Loss-aware Label Assignment for Dense Pedestrian Detection
Label assignment has been widely studied in general object detection bec...
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12/13/2020
MiniVLM: A Smaller and Faster Vision-Language Model
Recent vision-language (VL) studies have shown remarkable progress by le...
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12/08/2020
TAP: Text-Aware Pre-training for Text-VQA and Text-Caption
In this paper, we propose Text-Aware Pre-training (TAP) for Text-VQA and...
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12/07/2020
End-to-End Object Detection with Fully Convolutional Network
Mainstream object detectors based on the fully convolutional network has...
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09/22/2020
Effects of winter climate on high speed passenger trains in Botnia-Atlantica region
Harsh winter climate can cause various problems for both public and priv...
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07/15/2020
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
In this paper, we propose an effective knowledge transfer framework to b...
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07/07/2020
AutoAssign: Differentiable Label Assignment for Dense Object Detection
In this paper, we propose an anchor-free object detector with a fully di...
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05/22/2020
Hashing-based Non-Maximum Suppression for Crowded Object Detection
In this paper, we propose an algorithm, named hashing-based non-maximum ...
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08/29/2019