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09/18/2023
CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation
Audio-visual video segmentation (AVVS) aims to generate pixel-level maps...
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09/16/2023
RMP: A Random Mask Pretrain Framework for Motion Prediction
As the pretraining technique is growing in popularity, little work has b...
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09/14/2023
MC-NeRF: Muti-Camera Neural Radiance Fields for Muti-Camera Image Acquisition Systems
Neural Radiance Fields (NeRF) employ multi-view images for 3D scene repr...
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09/13/2023
Aggregating Long-term Sharp Features via Hybrid Transformers for Video Deblurring
Video deblurring methods, aiming at recovering consecutive sharp frames ...
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09/10/2023
Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
Audio-driven talking-head synthesis is a popular research topic for virt...
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09/04/2023
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion
We present DiverseMotion, a new approach for synthesizing high-quality h...
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08/30/2023
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation
For robots to be useful outside labs and specialized factories we need a...
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08/29/2023
AIoT-Based Drum Transcription Robot using Convolutional Neural Networks
With the development of information technology, robot technology has mad...
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08/25/2023
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
Tracking any given object(s) spatially and temporally is a common purpos...
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08/24/2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Recent advances in semi-supervised semantic segmentation have been heavi...
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08/20/2023
Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation
Audio-visual navigation is an audio-targeted wayfinding task where a rob...
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08/09/2023
Bird's-Eye-View Scene Graph for Vision-Language Navigation
Vision-language navigation (VLN), which entails an agent to navigate 3D ...
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07/31/2023
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation
In this technical report, we present our findings from the research cond...
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07/31/2023
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
In this study, we focus on the problem of 3D human mesh recovery from a ...
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07/27/2023
Clustering based Point Cloud Representation Learning for 3D Analysis
Point cloud analysis (such as 3D segmentation and detection) is a challe...
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07/25/2023
Kefa: A Knowledge Enhanced and Fine-grained Aligned Speaker for Navigation Instruction Generation
We introduce a novel speaker model Kefa for navigation instruction gener...
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07/24/2023
Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language Models
Recent advancements in natural language and Large Language Models (LLMs)...
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07/23/2023
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering
In this paper, we focus on the task of generalizable neural human render...
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07/13/2023
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
Large-scale pre-trained vision-language models allow for the zero-shot t...
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07/10/2023
Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration
Stroke extraction of Chinese characters plays an important role in the f...
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07/05/2023
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking
The Associating Objects with Transformers (AOT) framework has exhibited ...
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07/05/2023
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation
The Associating Objects with Transformers (AOT) framework has exhibited ...
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07/03/2023
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
In real-world scenarios, collected and annotated data often exhibit the ...
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06/25/2023
Enhancing Dynamic Image Advertising with Vision-Language Pre-training
In the multimedia era, image is an effective medium in search advertisin...
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06/15/2023
Action Sensitivity Learning for the Ego4D Episodic Memory Challenge 2023
This report presents ReLER submission to two tracks in the Ego4D Episodi...
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06/14/2023
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
We present a novel model for Tracking Any Point (TAP) that effectively t...
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06/10/2023
Shuffled Autoregression For Motion Interpolation
This work aims to provide a deep-learning solution for the motion interp...
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06/03/2023
Relieving Triplet Ambiguity: Consensus Network for Language-Guided Image Retrieval
Language-guided image retrieval enables users to search for images and i...
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06/02/2023
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution
Reference-based super-resolution (RefSR) has gained considerable success...
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05/29/2023
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Misalignment between the outputs of a vision-language (VL) model and tas...
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05/28/2023
Whitening-based Contrastive Learning of Sentence Embeddings
This paper presents a whitening-based contrastive learning method for se...
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05/25/2023
Action Sensitivity Learning for Temporal Action Localization
Temporal action localization (TAL), which involves recognizing and locat...
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05/24/2023
Mitigating Biased Activation in Weakly-supervised Object Localization via Counterfactual Learning
In this paper, we focus on an under-explored issue of biased activation ...
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05/23/2023
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
Pre-trained vision-language models are the de-facto foundation models fo...
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05/23/2023
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
We propose a novel multimodal video benchmark - the Perception Test - to...
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05/22/2023
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending
Large-scale image-text contrastive pre-training models, such as CLIP, ha...
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05/22/2023
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting
Multivariate time-series (MTS) forecasting is a paramount and fundamenta...
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05/22/2023
Gloss-Free End-to-End Sign Language Translation
In this paper, we tackle the problem of sign language translation (SLT) ...
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05/19/2023
PointGPT: Auto-regressively Generative Pre-training from Point Clouds
Large language models (LLMs) based on the generative pre-training transf...
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05/17/2023
Pyramid Diffusion Models For Low-light Image Enhancement
Recovering noise-covered details from low-light images is challenging, a...
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05/11/2023
Segment and Track Anything
This report presents a framework called Segment And Track Anything (SAMT...
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05/08/2023
Video Object Segmentation in Panoptic Wild Scenes
In this paper, we introduce semi-supervised video object segmentation (V...
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04/26/2023
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining
Medical artificial general intelligence (MAGI) enables one foundation mo...
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04/20/2023
Feature-compatible Progressive Learning for Video Copy Detection
Video Copy Detection (VCD) has been developed to identify instances of u...
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04/14/2023
DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection
This paper presents a DETR-based method for cross-domain weakly supervis...
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04/13/2023
TransHP: Image Classification with Hierarchical Prompting
This paper explores a hierarchical prompting mechanism for the hierarchi...
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04/13/2023
Efficient Multimodal Fusion via Interactive Prompting
Large-scale pre-training has brought unimodal fields such as computer vi...
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04/10/2023
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI
Explainable AI (XAI) methods provide explanations of AI models, but our ...
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04/08/2023
PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures
Neural Radiance Fields (NeRF) have been widely adopted as practical and ...
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04/06/2023
