Most Cited 2024 "sub-exponential noise" Papers

Proportional Representation in Metric Spaces and Low-Distortion Committee Selection

Yusuf Kalayci, David Kempe, Vikram Kher

Neural Oscillators for Generalization of Physics-Informed Machine Learning

Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky et al.

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization

Khiem Le, Tuan Long Ho, Cuong Do et al.

Semi-supervised Active Learning for Video Action Detection

Ayush Singh, Aayush J Rana, Akash Kumar et al.

RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning

Jingdi Chen, Tian Lan, Carlee Joe-Wong

A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals

Jiangnan Tang, Jingya Wang, Kaiyang Ji et al.

CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning

Junghun Oh, Sungyong Baik, Kyoung Mu Lee

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan et al.

Rethinking Few-shot Class-incremental Learning: Learning from Yourself

Yu-Ming Tang, Yi-Xing Peng, Jing-Ke Meng et al.

LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors

Saksham Suri, Matthew Walmer, Kamal Gupta et al.

Generating Images with 3D Annotations Using Diffusion Models

Wufei Ma, Qihao Liu, Jiahao Wang et al.

Emergent Visual-Semantic Hierarchies in Image-Text Representations

Morris Alper, Hadar Averbuch-Elor

PartCraft: Crafting Creative Objects by Parts

Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song et al.

From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation

Kun Su, Xiulong Liu, Eli Shlizerman

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference

Ziqian Zeng, Yihuai Hong, Hongliang Dai et al.

MDFL: Multi-Domain Diffusion-Driven Feature Learning

Daixun Li, Weiying Xie, Jiaqing Zhang et al.

Region-Aware Exposure Consistency Network for Mixed Exposure Correction

Jin Liu, Huiyuan Fu, Chuanming Wang et al.

Music Style Transfer with Time-Varying Inversion of Diffusion Models

Sifei Li, Yuxin Zhang, Fan Tang et al.

Decomposing Semantic Shifts for Composed Image Retrieval

Xingyu Yang, Daqing Liu, Heng Zhang et al.

From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior

Jaeho Moon, Juan Luis Gonzalez Bello, Byeongjun Kwon et al.

CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis

Xiaoxiao Sun, Xingjian Leng, Zijian Wang et al.

De-Diffusion Makes Text a Strong Cross-Modal Interface

Chen Wei, Chenxi Liu, Siyuan Qiao et al.

A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis

Xiang Liu, Zhaoxiang Liu, Huan Hu et al.

Weakly Supervised Open-Vocabulary Object Detection

Jianghang Lin, Yunhang Shen, Bingquan Wang et al.

PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection

Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang et al.

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty

Laixi Shi, Eric Mazumdar, Yuejie Chi et al.

Text to Layer-wise 3D Clothed Human Generation

Junting Dong, Qi Fang, Zehuan Huang et al.

Layout-Agnostic Scene Text Image Synthesis with Diffusion Models

Qilong Zhangli, Jindong Jiang, Di Liu et al.

Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding

6627 Peijun Bao, Yong Xia, Wenhan Yang et al.

City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web

Kaiwen Song, Xiaoyi Zeng, Chenqu Ren et al.

De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts

Yuzheng Wang, Dingkang Yang, Zhaoyu Chen et al.

Feel-Good Thompson Sampling for Contextual Dueling Bandits

Xuheng Li, Heyang Zhao, Quanquan Gu

Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation

JUNYU GAO, Xuan Yao, Changsheng Xu

Lazy Diffusion Transformer for Interactive Image Editing

Yotam Nitzan, Zongze Wu, Richard Zhang et al.

Defining and extracting generalizable interaction primitives from DNNs

Lu Chen, Siyu Lou, Benhao Huang et al.

Plug-and-Play image restoration with Stochastic deNOising REgularization

Marien Renaud, Jean Prost, Arthur Leclaire et al.

Incentivized Learning in Principal-Agent Bandit Games

Antoine Scheid, Daniil Tiapkin, Etienne Boursier et al.

Tackling Structural Hallucination in Image Translation with Local Diffusion

Seunghoi Kim, Chen Jin, Tom Diethe et al.

Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization

Yihan Du, Anna Winnicki, Gal Dalal et al.

ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image

Marco Pesavento, Yuanlu Xu, Nikolaos Sarafianos et al.

Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders

Alexandre Eymaël, Renaud Vandeghen, Anthony Cioppa et al.

When should we prefer Decision Transformers for Offline Reinforcement Learning?

Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard et al.

Weakly Supervised Semantic Segmentation for Driving Scenes

Dongseob Kim, Seungho Lee, Junsuk Choe et al.

Object Pose Estimation via the Aggregation of Diffusion Features

Tianfu Wang, Guosheng Hu, Hongguang Wang

Leave-one-out Distinguishability in Machine Learning

Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou et al.

Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition

Masashi Hatano, Ryo Hachiuma, Ryo Fujii et al.

Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation

Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast et al.

A New Benchmark and Model for Challenging Image Manipulation Detection

Zhenfei Zhang, Mingyang Li, Ming-Ching Chang

SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration

Kezheng Xiong, Maoji Zheng, Qingshan Xu et al.

An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding

Wei Chen, Long Chen, Yu Wu

LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation

Yuchen Su, Zhineng Chen, Zhiwen Shao et al.

Context Diffusion: In-Context Aware Image Generation

Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey et al.

DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data

Qihao Liu, Yi Zhang, Song Bai et al.

Non-Exchangeable Conformal Risk Control

António Farinhas, Chrysoula Zerva, Dennis Ulmer et al.

$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

Zijie Pan, Yushan Jiang, Sahil Garg et al.

HDRFlow: Real-Time HDR Video Reconstruction with Large Motions

Gangwei Xu, Yujin Wang, Jinwei Gu et al.

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables

Haisong Gong, Weizhi Xu, Shu Wu et al.

Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation

Xuelu Feng, Dongdong Chen, Junsong Yuan et al.

GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding

Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu et al.

PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer

Tongkun Guan, Chengyu Lin, Wei Shen et al.

Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers

Md Shamim Hussain, Mohammed Zaki, Dharmashankar Subramanian

Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning

Yunbin Tu, Liang Li, Li Su et al.

TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions

Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation

Tao Chen, Xiruo Jiang, Gensheng Pei et al.

Sliced Wasserstein with Random-Path Projecting Directions

Khai Nguyen, Shujian Zhang, Tam Le et al.

Image Inpainting via Iteratively Decoupled Probabilistic Modeling

Wenbo Li, Xin Yu, Kun Zhou et al.

CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images

olga fourkioti, Matt De Vries, Chris Bakal

CustomListener: Text-guided Responsive Interaction for User-friendly Listening Head Generation

Xi Liu, Ying Guo, Cheng Zhen et al.

AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking

Yuheng Li, Tianyu Luan, Yizhou Wu et al.

Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding

Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki et al.

Self-Supervised Video Desmoking for Laparoscopic Surgery

Renlong Wu, Zhilu Zhang, Shuohao Zhang et al.

What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity

Gabryel Mason-Williams, Fredrik Dahlqvist

Condition-Aware Neural Network for Controlled Image Generation

Han Cai, Muyang Li, Qinsheng Zhang et al.

SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations

Pu Li, Jianwei Guo, HUIBIN LI et al.

Counterfactual Image Editing

Yushu Pan, Elias Bareinboim

One-stage Prompt-based Continual Learning

Youngeun Kim, YUHANG LI, Priyadarshini Panda

On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Felix Draxler, Stefan Wahl, Christoph Schnörr et al.

Stratified Avatar Generation from Sparse Observations

Han Feng, Wenchao Ma, Quankai Gao et al.

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise

Yixin Liu, Kaidi Xu, Xun Chen et al.

Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss

Jaeha Kim, Junghun Oh, Kyoung Mu Lee

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning

Longkang Li, Siyuan Liang, Zihao Zhu et al.

Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning

Jiachen Li, Qiaozi Gao, Michael Johnston et al.

Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment

Alireza Ganjdanesh, Shangqian Gao, Heng Huang

Sliced Denoising: A Physics-Informed Molecular Pre-Training Method

yuyan ni, Shikun Feng, Wei-Ying Ma et al.

MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors

He Zhang, Shenghao Ren, Haolei Yuan et al.

QDFormer: Towards Robust Audiovisual Segmentation in Complex Environments with Quantization-based Semantic Decomposition

Xiang Li, Jinglu Wang, Xiaohao Xu et al.

Towards Understanding Factual Knowledge of Large Language Models

Xuming Hu, Junzhe Chen, Xiaochuan Li et al.

Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation

Friedhelm Hamann, Ziyun Wang, Ioannis Asmanis et al.

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation

Xinyu Ma, Xu Chu, Zhibang Yang et al.

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN

Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar et al.

Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification

Yiming Meng, Ruikun Zhou, Amartya Mukherjee et al.

Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification

Zhe Huang, Ruijie Jiang, Shuchin Aeron et al.

HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models

Mengcheng Li, Hongwen Zhang, Yuxiang Zhang et al.

E.T. the Exceptional Trajectory: Text-to-camera-trajectory generation with character awareness

Robin Courant, Nicolas Dufour, Xi WANG et al.

Align Before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition

Yifei Chen, Dapeng Chen, Ruijin Liu et al.

Controllable 3D Face Generation with Conditional Style Code Diffusion

Diffusion Posterior Sampling is Computationally Intractable

Shivam Gupta, Ajil Jalal, Aditya Parulekar et al.

Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models

Zhihe Lu, Jiawang Bai, Xin Li et al.

ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data

Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski et al.

Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance

Tien Toan Nguyen, Minh Nhat Nhat Vu, Baoru Huang et al.

Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors

Haoxuanye Ji, Pengpeng Liang, Erkang Cheng

Predictive, scalable and interpretable knowledge tracing on structured domains

Hanqi Zhou, Robert Bamler, Charley Wu et al.

Low-Resource Vision Challenges for Foundation Models

Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek

Diffusive Gibbs Sampling

Wenlin Chen, Mingtian Zhang, Brooks Paige et al.

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

Zeyu Liu, Gourav Datta, Anni Li et al.

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process

Guangyi Chen, Yifan Shen, Zhenhao Chen et al.

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold

Jun Chen, Haishan Ye, Mengmeng Wang et al.

UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving

Jian Zou, Tianyu Huang, Guanglei Yang et al.

Differentiable Information Bottleneck for Deterministic Multi-view Clustering

Xiaoqiang Yan, Zhixiang Jin, Fengshou Han et al.

EControl: Fast Distributed Optimization with Compression and Error Control

Yuan Gao, Rustem Islamov, Sebastian Stich

Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND

Qiyu Kang, Kai Zhao, Qinxu Ding et al.

SparseFormer: Sparse Visual Recognition via Limited Latent Tokens

Ziteng Gao, Zhan Tong, Limin Wang et al.

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection

Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Camara Gomes et al.

NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks

Wenxi Wang, Yang Hu, Mohit Tiwari et al.

NeISF: Neural Incident Stokes Field for Geometry and Material Estimation

Chenhao Li, Taishi Ono, Takeshi Uemori et al.

M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models

Seunggeun Chi, Hyung-gun Chi, Hengbo Ma et al.

Single-Trajectory Distributionally Robust Reinforcement Learning

Zhipeng Liang, Xiaoteng Ma, Jose Blanchet et al.

MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes

Casper van Engelenburg, Fatemeh Mostafavi, Emanuel Kuhn et al.

Geometry Transfer for Stylizing Radiance Fields

Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos et al.

R-MAE: Regions Meet Masked Autoencoders

Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal et al.

Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision

Hao Dong, Eleni Chatzi, Olga Fink

Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models

Kota Sueyoshi, Takashi Matsubara

Lane2Seq: Towards Unified Lane Detection via Sequence Generation

Kunyang Zhou

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts

Zewen Chen, Haina Qin, Juan Wang et al.

Spider: A Unified Framework for Context-dependent Concept Segmentation

Xiaoqi Zhao, Youwei Pang, Wei Ji et al.

Self-supervised Representation Learning from Random Data Projectors

Yi Sui, Tongzi Wu, Jesse Cresswell et al.

Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

Xuxi Chen, Yu Yang, Zhangyang Wang et al.

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation

Xiang Gao, Zhengbo Xu, junhan Zhao et al.

Information Flow in Self-Supervised Learning

Zhiquan Tan, Jingqin Yang, Weiran Huang et al.

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Wei Fang, Yuxing Tang, Heng Guo et al.

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems

zhi Zheng, Shunyu Yao, Zhenkun Wang et al.

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Yikang Wei, Yahong Han

Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation

Ruicong Liu, Takehiko Ohkawa, Mingfang Zhang et al.

You Only Need Less Attention at Each Stage in Vision Transformers

Shuoxi Zhang, Hanpeng Liu, Stephen Lin et al.

Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space

Minji Lee, Luiz Felipe Vecchietti, Hyunkyu Jung et al.

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains

Kyungeun Lee, Ye Seul Sim, Hye-Seung Cho et al.

Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration

Xiaole Tang, Hu Xin, Xiang Gu et al.

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

Zhaoyang Wang, Dongyang Li, Mingyang Zhang et al.

Grokking Group Multiplication with Cosets

Dashiell Stander, Qinan Yu, Honglu Fan et al.

Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning

Youqi Pan, Wugen Zhou, Yingdian Cao et al.

Identifying Representations for Intervention Extrapolation

Sorawit (James) Saengkyongam, Elan Rosenfeld, Pradeep K Ravikumar et al.

Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment

Brian Gordon, Yonatan Bitton, Yonatan Shafir et al.

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Kai Huang, Hanyun Yin, Heng Huang et al.

More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning

Kaiwen Wang, Owen Oertell, Alekh Agarwal et al.

Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity

Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim et al.

How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection

Yiyang Yao, Peng Liu, Tiancheng Zhao et al.

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models

Sohyun An, Hayeon Lee, Jaehyeong Jo et al.

Neural Visibility Field for Uncertainty-Driven Active Mapping

Shangjie Xue, Jesse Dill, Pranay Mathur et al.

Self-Supervised Contrastive Learning for Long-term Forecasting

Junwoo Park, Daehoon Gwak, Jaegul Choo et al.

Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning

Chen Tang, Yuan Meng, Jiacheng Jiang et al.

Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators

Jianhao Yuan, Francesco Pinto, Adam Davies et al.

RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates

Jun Sun, Xinxin Zhang, Shoukang Han et al.

Label-Noise Robust Diffusion Models

Byeonghu Na, Yeongmin Kim, HeeSun Bae et al.

Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs

Daniel D. Johnson, Daniel Tarlow, David Duvenaud et al.

Compositional Generative Inverse Design

Tailin Wu, Takashi Maruyama, Long Wei et al.

Tri^{2}-plane: Thinking Head Avatar via Feature Pyramid

Luchuan Song, Pinxin Liu, Lele Chen et al.

ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization

Yixin Yang, Jiangxin Dong, Jinhui Tang et al.

Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning

Yibing Wei, Abhinav Gupta, Pedro Morgado

Taming Latent Diffusion Model for Neural Radiance Field Inpainting

Chieh Lin, Changil Kim, Jia-Bin Huang et al.

Jointly-Learned Exit and Inference for a Dynamic Neural Network

Florence Regol, Joud Chataoui, Mark Coates

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes

Zhiyuan Yu, Zheng Qin, lintao zheng et al.

Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning

Chengcheng Ma, Ismail Elezi, Jiankang Deng et al.

Real-Time Simulated Avatar from Head-Mounted Sensors

Zhengyi Luo, Jinkun Cao, Rawal Khirodkar et al.

Gaussian Shadow Casting for Neural Characters

Luis Bolanos, Shih-Yang Su, Helge Rhodin

Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach

Yuyang Chai, Zhuang Li, Jiahui Liu et al.

Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses

Inhee Lee, Byungjun Kim, Hanbyul Joo

Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion

Hang Xu, Chen Long, Wenxiao Zhang et al.

Towards Multi-modal Transformers in Federated Learning

Guangyu Sun, Matias Mendieta, Aritra Dutta et al.

MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes

Bor Shiun Wang, Chien-Yi Wang, Wei-Chen Chiu

DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations

Dogyun Park, Sihyeon Kim, Sojin Lee et al.

BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning

Qianhan Feng, Lujing Xie, Shijie Fang et al.

Balanced Resonate-and-Fire Neurons

Saya Higuchi, Sebastian Kairat, Sander Bohte et al.

Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth

Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen et al.

Controllable Navigation Instruction Generation with Chain of Thought Prompting

Xianghao Kong, Jinyu Chen, Wenguan Wang et al.

Ditto: Quantization-aware Secure Inference of Transformers upon MPC

Haoqi Wu, Wenjing Fang, Yancheng Zheng et al.

Adversarial Score Distillation: When score distillation meets GAN

Min Wei, Jingkai Zhou, Junyao Sun et al.

LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction

Penghui Du, Yu Wang, Yifan Sun et al.

Review-Enhanced Hierarchical Contrastive Learning for Recommendation

Ke Wang, Yanmin Zhu, Tianzi Zang et al.

Negative Pre-aware for Noisy Cross-Modal Matching

Xu Zhang, Hao Li, Mang Ye

Progressive Poisoned Data Isolation for Training-Time Backdoor Defense

Yiming Chen, Haiwei Wu, Jiantao Zhou

One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts

Ruochen Wang, Sohyun An, Minhao Cheng et al.

Diversified and Personalized Multi-rater Medical Image Segmentation

Yicheng Wu, Xiangde Luo, Zhe Xu et al.

FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning

Yonghyeon Jo, Sunwoo Lee, Junghyuk Yum et al.

How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?

Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain et al.

Functional Interpolation for Relative Positions improves Long Context Transformers

Shanda Li, Chong You, Guru Guruganesh et al.

Learning with Counterfactual Explanations for Radiology Report Generation

Mingjie Li, Haokun Lin, Liang Qiu et al.

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection

Taeheon Kim, Sebin Shin, Youngjoon Yu et al.

Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis

Qian Chen, Shihao Shu, Xiangzhi Bai

PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling

Xiaoyun Zheng, Liwei Liao, Xufeng Li et al.

Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization

Yuhang Zang, Hanlin Goh, Joshua Susskind et al.

A Geometric Explanation of the Likelihood OOD Detection Paradox

Hamidreza Kamkari, Brendan Ross, Jesse Cresswell et al.

Binarized Low-light Raw Video Enhancement

Gengchen Zhang, Yulun Zhang, Xin Yuan et al.

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI

Chong Wang, Lanqing Guo, Yufei Wang et al.

Beyond MOT: Semantic Multi-Object Tracking

Yunhao Li, Qin Li, Hao Wang et al.

Quadratic models for understanding catapult dynamics of neural networks

Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan et al.

An Interpretable Evaluation of Entropy-based Novelty of Generative Models

Jingwei Zhang, Cheuk Ting Li, Farzan Farnia

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild

Andreas Engelhardt, Amit Raj, Mark Boss et al.

FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning

Gihun Lee, Minchan Jeong, SangMook Kim et al.

TULIP: Transformer for Upsampling of LiDAR Point Clouds

Bin Yang, Patrick Pfreundschuh, Roland Siegwart et al.

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

Jaehyeong Jo, Sung Ju Hwang