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06/03/2023
Balancing Logit Variation for Long-tailed Semantic Segmentation
Semantic segmentation usually suffers from a long-tail data distribution...
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05/29/2023
3D Model-based Zero-Shot Pose Estimation Pipeline
Most existing learning-based pose estimation methods are typically devel...
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05/23/2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to transfer knowledge from a ...
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03/15/2023
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers
Self-supervised pre-training and transformer-based networks have signifi...
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02/28/2023
Efficient Masked Autoencoders with Self-Consistency
Inspired by masked language modeling (MLM) in natural language processin...
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12/20/2022
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation
Multimodal machine translation (MMT) aims to improve translation quality...
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12/03/2022
Exploring Stochastic Autoregressive Image Modeling for Visual Representation
Autoregressive language modeling (ALM) have been successfully used in se...
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11/25/2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Visual anomaly detection plays a crucial role in not only manufacturing ...
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10/20/2022
Uni6Dv3: 5D Anchor Mechanism for 6D Pose Estimation
Unlike indirect methods that usually require time-consuming post-process...
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09/28/2022
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
Visual tasks vary a lot in their output formats and concerned contents, ...
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09/15/2022
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Self-training has shown great potential in semi-supervised learning. Its...
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08/15/2022
Uni6Dv2: Noise Elimination for 6D Pose Estimation
Few prior 6D pose estimation methods use a backbone network to extract f...
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05/30/2022
Benchmarking Unsupervised Anomaly Detection and Localization
Unsupervised anomaly detection and localization, as of one the most prac...
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05/16/2022
Peridynamic modeling for impact failure of wet concrete considering the influence of saturation
In this paper, a modified intermediately homogenized peridynamic (IH-PD)...
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03/28/2022
Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation
As RGB-D sensors become more affordable, using RGB-D images to obtain hi...
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03/14/2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
Self-supervised learning (SSL) holds promise in leveraging large amounts...
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03/08/2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
The crux of semi-supervised semantic segmentation is to assign adequate ...
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01/24/2022
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus
The punctuation restoration task aims to correctly punctuate the output ...
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11/15/2021
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
Unsupervised anomaly detection and localization is crucial to the practi...
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10/09/2021
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization
The essence of unsupervised anomaly detection is to learn the compact di...
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06/15/2021
Language Tags Matter for Zero-Shot Neural Machine Translation
Multilingual Neural Machine Translation (MNMT) has aroused widespread in...
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06/10/2021
MST: Masked Self-Supervised Transformer for Visual Representation
Transformer has been widely used for self-supervised pre-training in Nat...
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05/20/2021
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Existing multilingual machine translation approaches mainly focus on Eng...
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05/19/2021
Learning Language Specific Sub-network for Multilingual Machine Translation
Multilingual neural machine translation aims at learning a single transl...
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10/28/2020
The Volctrans Machine Translation System for WMT20
This paper describes our VolcTrans system on WMT20 shared news translati...
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04/10/2020
Multimodal Categorization of Crisis Events in Social Media
Recent developments in image classification and natural language process...
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02/27/2020
Advances in Collaborative Filtering and Ranking
In this dissertation, we cover some recent advances in collaborative fil...
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08/15/2019
Temporal Collaborative Ranking Via Personalized Transformer
The collaborative ranking problem has been an important open research qu...
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05/29/2019
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
In this paper, we consider recommender systems with side information in ...
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05/25/2019
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
In deep neural nets, lower level embedding layers account for a large po...
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02/28/2018