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08/24/2023
Dense Text-to-Image Generation with Attention Modulation
Existing text-to-image diffusion models struggle to synthesize realistic...
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08/08/2023
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning
Compositional zero-shot learning (CZSL) aims to recognize unseen composi...
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08/03/2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
AI alignment refers to models acting towards human-intended goals, prefe...
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04/11/2023
Panoramic Image-to-Image Translation
In this paper, we tackle the challenging task of Panoramic Image-to-Imag...
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04/10/2023
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
Recovering 3D human mesh in the wild is greatly challenging as in-the-wi...
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03/17/2023
Dual-path Adaptation from Image to Video Transformers
In this paper, we efficiently transfer the surpassing representation pow...
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03/14/2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Text-to-3D generation has shown rapid progress in recent days with the a...
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02/27/2023
Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech
The goal of this work is zero-shot text-to-speech synthesis, with speaki...
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02/03/2023
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
Multi-resolution hash encoding has recently been proposed to reduce the ...
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01/27/2023
Semi-Parametric Video-Grounded Text Generation
Efficient video-language modeling should consider the computational cost...
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10/24/2022
Language-free Training for Zero-shot Video Grounding
Given an untrimmed video and a language query depicting a specific tempo...
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10/24/2022
Specializing Multi-domain NMT via Penalizing Low Mutual Information
Multi-domain Neural Machine Translation (NMT) trains a single model with...
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09/22/2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
We present a novel method for exemplar-based image translation, called m...
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07/27/2022
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
Online stereo adaptation tackles the domain shift problem, caused by dif...
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05/25/2022
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
Text-to-image generation and image captioning are recently emerged as a ...
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04/08/2022
Probabilistic Representations for Video Contrastive Learning
This paper presents Probabilistic Video Contrastive Learning, a self-sup...
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04/07/2022
Pin the Memory: Learning to Generalize Semantic Segmentation
The rise of deep neural networks has led to several breakthroughs for se...
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02/06/2022
Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution
Over the past few years, image-to-image (I2I) translation methods have b...
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12/01/2021
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation
Recently, vector-quantized image modeling has demonstrated impressive pe...
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10/24/2021
Conditional Generation of Periodic Signals with Fourier-Based Decoder
Periodic signals play an important role in daily lives. Although convent...
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10/22/2021
Wide and Narrow: Video Prediction from Context and Motion
Video prediction, forecasting the future frames from a sequence of input...
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08/31/2021
Self-balanced Learning For Domain Generalization
Domain generalization aims to learn a prediction model on multi-domain s...
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08/08/2021
Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding
Substantial increase in the use of Electronic Health Records (EHRs) has ...
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04/29/2021
Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering
This paper presents a novel method, termed Bridge to Answer, to infer co...
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03/25/2021
Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation
In this paper, we address the problem of separating individual speech si...
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07/17/2020
SumGraph: Video Summarization via Recursive Graph Modeling
The goal of video summarization is to select keyframes that are visually...
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08/16/2019