Paper Papers

Differentiable Auxiliary Learning for Sketch Re-identification

Xingyu Liu, Xu Cheng, Haoyu Chen et al.

DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images

Mingxin Yi, Kai Zhang, Pei Liu et al.

DiffSED: Sound Event Detection with Denoising Diffusion

Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia et al.

DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection

Yunfan Ye, Yuhang Huang, Renjiao Yi et al.

Diffusion Language-Shapelets for Semi-supervised Time-Series Classification

Zhen Liu, Wenbin Pei, Disen Lan et al.

DiffusionTrack: Diffusion Model for Multi-Object Tracking

Run Luo, Zikai Song, Lintao Ma et al.

DiG-In-GNN: Discriminative Feature Guided GNN-based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph

Jinghui Zhang, Zhengjia Xu, Dingyang Lv et al.

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation

Zihui Gu, Xingwu Sun, Fengzong Lian et al.

Direct Amortized Likelihood Ratio Estimation

Adam Cobb, Brian Matejek, Daniel Elenius et al.

Directed Diffusion: Direct Control of Object Placement through Attention Guidance

Wan-Duo Ma, Avisek Lahiri, J. P. Lewis et al.

Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning

Shuning Xu, Binbin SONG, Xiangyu Chen et al.

Direct May Not Be the Best: An Incremental Evolution View of Pose Generation

Yuelong Li, Tengfei Xiao, Lei Geng et al.

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie et al.

Discerning Temporal Difference Learning

Jianfei Ma

DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization

Danyeong Lee, Dohoon Lee, Dongmin Bang et al.

Discovering Sequential Patterns with Predictable Inter-event Delays

Joscha Cüppers, Paul Krieger, Jilles Vreeken

Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition

Ling Ge, Chunming Hu, Guanghui Ma et al.

Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching

Siddharth Tourani, Muhammad Haris Khan, Carsten Rother et al.

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

Xuanlong Yu, Gianni Franchi, Jindong Gu et al.

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Junjie Chen, Jiahao Li, Chen Song et al.

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving

Jun Yin, Shiliang Sun, Lai Wei et al.

Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser

Qingyuan Cai, Xuecai Hu, Saihui Hou et al.

Disentangled Partial Label Learning

Wei-Xuan Bao, Yong Rui, Min-Ling Zhang

Disguise without Disruption: Utility-Preserving Face De-identification

Zikui Cai, Zhongpai Gao, Benjamin Planche et al.

Disjoint Partial Enumeration without Blocking Clauses

Giuseppe Spallitta, Roberto Sebastiani, Armin Biere

Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed

Yubin Xiao, Di Wang, Boyang Li et al.

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning

Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition

Sijie Wang, Rui She, Qiyu Kang et al.

Distributed Manifold Hashing for Image Set Classification and Retrieval

Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation

DIUSum: Dynamic Image Utilization for Multimodal Summarization

Min Xiao, Junnan Zhu, Feifei Zhai et al.

DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection

Li Xiang, Junbo Yin, Wei Li et al.

Divergence-Guided Simultaneous Speech Translation

Xinjie Chen, Kai Fan, Wei Luo et al.

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation

Guy Yariv, Itai Gat, Sagie Benaim et al.

Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration

Diverse Person: Customize Your Own Dataset for Text-Based Person Search

Zifan Song, Guosheng Hu, Cairong Zhao

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification

Fengxiang Yang, Zhun Zhong, Zhiming Luo et al.

Divide and Conquer: Hybrid Pre-training for Person Search

Yanling Tian, Di Chen, Yunan Liu et al.

DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos

Chunjie Luo, Fei Luo, Yusen Wang et al.

DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation

Songsong Yu, Yifan Wang, Yunzhi Zhuge et al.

DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction

DocFormerv2: Local Features for Document Understanding

Srikar Appalaraju, Peng Tang, Qi Dong et al.

DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding

Hang Du, Guoshun Nan, Sicheng Zhang et al.

DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations

Ruilu Wang, Yang Xue, Lianwen Jin

DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding

Xiaoxuan Yu, Hao Wang, Weiming Li et al.

Does Few-Shot Learning Suffer from Backdoor Attacks?

Xinwei Liu, Xiaojun Jia, Jindong Gu et al.

DOGE-Train: Discrete Optimization on GPU with End-to-End Training

Ahmed Abbas, P. Swoboda

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability

Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee

Domain-Controlled Prompt Learning

Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.

Domain Generalizable Person Search Using Unreal Dataset

Authors: Minyoung Oh, Duhyun Kim, Jae-Young Sim