Most Cited 2024 "retrospective resampling" Papers
12,324 papers found • Page 37 of 62
Conference
Enhancing Tampered Text Detection through Frequency Feature Fusion and Decomposition
Zhongxi Chen, Shen Chen, Taiping Yao et al.
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
Dongpeng Hou, Chao Gao, Xuelong Li et al.
BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed
Abhishek Tandon, Anujraaj Goyal, Henry M. Clever et al.
High-Fidelity and Transferable NeRF Editing by Frequency Decomposition
YISHENG HE, Weihao Yuan, Siyu Zhu et al.
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow
EungGu Kang, Byeonghun Lee, Sunghoon Im et al.
Counterfactual Density Estimation using Kernel Stein Discrepancies
Diego Martinez-Taboada, Edward Kennedy
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
Shoma Iwai, Atsuki Osanai, Shunsuke Kitada et al.
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Mingqing Xiao, Yixin Zhu, Di He et al.
MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval
bowen zhang, Xiaojie Jin, Weibo Gong et al.
L-MAGIC: Language Model Assisted Generation of Images with Coherence
zhipeng cai, Matthias Mueller, Reiner Birkl et al.
PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation
Ginger Delmas, Philippe Weinzaepfel, Francesc Moreno et al.
Auto-Linear Phenomenon in Subsurface Imaging
Yinan Feng, Yinpeng Chen, Peng Jin et al.
Sparse Variational Student-t Processes
Jian Xu, Delu Zeng
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model
Lirui Zhao, Yue Yang, Kaipeng Zhang et al.
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
Yu Tian, Min Shi, Yan Luo et al.
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing
Shang Liu, Chaohui Yu, Chenjie Cao et al.
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
Conceptual Codebook Learning for Vision-Language Models
Yi Zhang, Ke Yu, Siqi Wu et al.
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference
Tanvir Mahmud, Burhaneddin Yaman, Chun-Hao Liu et al.
Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging
Mahmoud Afifi, Zhenhua Hu, Liang Liang
A Recipe for Improved Certifiable Robustness
Kai Hu, Klas Leino, Zifan Wang et al.
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
Jiayu Chen, Zelai Xu, Yunfei Li et al.
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
Zhaomin Wu, Junyi Hou, Bingsheng He
Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting
Haiwei Chen, Yajie Zhao
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
Takami Sato, Justin Yue, Nanze Chen et al.
Multi-Modal Disordered Representation Learning Network for Description-Based Person Search
Fan Yang, Wei Li, Menglong Yang et al.
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
Shangmin Guo, YI REN, Stefano Albrecht et al.
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
Lanxiang Xing, Haixu Wu, yuezhou ma et al.
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
Song Jintao, Wenqi Lu, Yunwen Lei et al.
SeTformer Is What You Need for Vision and Language
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger et al.
Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs
Georgy Perevozchikov, Nancy Mehta, Mahmoud Afifi et al.
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Jian Shi, Pengyi Zhang, Ni Zhang et al.
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
Zheng Xiong, Risto Vuorio, Jacob Beck et al.
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
Patrick Altmeyer, Mojtaba Farmanbar, Arie Van Deursen et al.
External Knowledge Enhanced 3D Scene Generation from Sketch
Zijie Wu, Mingtao Feng, Yaonan Wang et al.
Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM
Baicheng Li, Zike Yan, Dong Wu et al.
Generating Illustrated Instructions
Sachit Menon, Ishan Misra, Rohit Girdhar
U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
You Wu, Kean Liu, Xiaoyue Mi et al.
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
Yuancheng Xu, Chenghao Deng, Yanchao Sun et al.
PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments
rixin zhou, Ding Xia, YI ZHANG et al.
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Ruijie Yao, Sheng Jin, Lumin Xu et al.
Camera-LiDAR Cross-modality Gait Recognition
Wenxuan Guo, Yingping Liang, Zhiyu Pan et al.
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
Thanh-Tung Le, Khai Nguyen, shanlin sun et al.
Efficient Stitchable Task Adaptation
Haoyu He, Zizheng Pan, Jing Liu et al.
VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement
Hanjung Kim, Jaehyun Kang, Miran Heo et al.
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
Kyuyoung Kim, Jongheon Jeong, Minyong An et al.
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
Gwanghyun Kim, Hayeon Kim, Hoigi Seo et al.
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
Youheng Sun, Shengming Yuan, Xuanhan Wang et al.
ADFactory: An Effective Framework for Generalizing Optical Flow with NeRF
Han Ling, Quansen Sun, Yinghui Sun et al.
Learning Small Decision Trees with Few Outliers: A Parameterized Perspective
Harmender Gahlawat, Meirav Zehavi
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end–optimized Perception with Neural Sensors
Haley So, Laurie Bose, Piotr Dudek et al.
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Detours for Navigating Instructional Videos
Kumar Ashutosh, Zihui Xue, Tushar Nagarajan et al.
Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning
Wenke Huang, Mang Ye, zekun shi et al.
SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
Yaxu Xie, Alain Pagani, Didier Stricker
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP
Qu Yang, Mang Ye, Dacheng Tao
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
Xiaoyu Wu, Yang Hua, Chumeng Liang et al.
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
Zijin Yin, Kongming Liang, Bing Li et al.
Alt-Text with Context: Improving Accessibility for Images on Twitter
Nikita Srivatsan, Sofia Samaniego, Omar Florez et al.
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
Yu-Ju Tsai, Jin-Cheng Jhang, JINGJING ZHENG et al.
Extreme Point Supervised Instance Segmentation
Hyeonjun Lee, Sehyun Hwang, Suha Kwak
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim et al.
Learning to Complement and to Defer to Multiple Users
Zheng Zhang, Wenjie Ai, Kevin Wells et al.
Domain Generalization of 3D Object Detection by Density-Resampling
Shuangzhi Li, Lei Ma, Xingyu Li
Artist-Friendly Relightable and Animatable Neural Heads
Yingyan Xu, Prashanth Chandran, Sebastian Weiss et al.
In Search of a Data Transformation That Accelerates Neural Field Training
Junwon Seo, Sangyoon Lee, Kwang In Kim et al.
BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation
Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee et al.
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Li Ren, Chen Chen, Liqiang Wang et al.
Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos
Fengrui Tian, Yueqi Duan, Angtian Wang et al.
Universal Gradient Methods for Stochastic Convex Optimization
Anton Rodomanov, Ali Kavis, Yongtao Wu et al.
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
Jiacheng Lin, Meng XU, Zhihua Xiong et al.
AFreeCA: Annotation-Free Counting for All
Adriano DAlessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
Invariant Risk Minimization Is A Total Variation Model
Zhao-Rong Lai, Weiwen Wang
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise
Augusto Santos, Diogo Rente, Rui Seabra et al.
Positive Concave Deep Equilibrium Models
Mateusz Gabor, Tomasz Piotrowski, Renato L. G. Cavalcante
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du, Yifan Zhou, Fan Lyu et al.
Accelerating the Global Aggregation of Local Explanations
Alon Mor, Yonatan Belinkov, Benny Kimelfeld
Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization
Ye Chen, Bingbing Ni, Jinfan Liu et al.
Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting
Yu Liu, Fatimah binti Khalid, Lei Wang et al.
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos et al.
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance
Yuto Enyo, Ko Nishino
Model Assessment and Selection under Temporal Distribution Shift
Elise Han, Chengpiao Huang, Kaizheng Wang
Dynamic Neural Radiance Field From Defocused Monocular Video
Xianrui Luo, Huiqiang Sun, Juewen Peng et al.
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Robert Peach, Matteo Vinao-Carl, Nir Grossman et al.
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
KILICHBEK HAYDAROV, Xiaoqian Shen, Avinash Madasu et al.
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
Motahareh Sohrabi, Juan Ramirez, Tianyue Zhang et al.
Two-timescale Extragradient for Finding Local Minimax Points
Jiseok Chae, Kyuwon Kim, Donghwan Kim
Data Augmentation via Latent Diffusion for Saliency Prediction
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang et al.
CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok et al.
MeshVPR: Citywide Visual Place Recognition Using 3D Meshes
Gabriele Berton, Lorenz Junglas, Riccardo Zaccone et al.
Understanding Physical Dynamics with Counterfactual World Modeling
Rahul Mysore Venkatesh, Honglin Chen, Kevin Feigelis et al.
Layerwise Change of Knowledge in Neural Networks
Xu Cheng, Lei Cheng, Zhaoran Peng et al.
Appearance-based Refinement for Object-Centric Motion Segmentation
Junyu Xie, Weidi Xie, Andrew ZISSERMAN
Simultaneous identification of models and parameters of scientific simulators
Cornelius Schröder, Jakob Macke
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
Zeyang Liu, Lipeng Wan, Xinrui Yang et al.
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis
Tianyao He, Huabin Liu, Yuxi Li et al.
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
Minsoo Kang, Minkoo Kang, Suhyun Kim
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee
Single-Model Attribution of Generative Models Through Final-Layer Inversion
Mike Laszkiewicz, Jonas Ricker, Johannes Lederer et al.
LOQA: Learning with Opponent Q-Learning Awareness
Milad Aghajohari, Juan Duque, Timotheus Cooijmans et al.
Differentiable Point-based Inverse Rendering
Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek
Encodings for Prediction-based Neural Architecture Search
Yash Akhauri, Mohamed Abdelfattah
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
Jialin Li, Qiang Nie, Weifu Fu et al.
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration
Huangxing Lin, Yuhang Dong, Xinghao Ding et al.
Language Generation with Strictly Proper Scoring Rules
Chenze Shao, Fandong Meng, Yijin Liu et al.
Knowledge-Enhanced Historical Document Segmentation and Recognition
En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu et al.
Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal
Yicheng Leng, Chaowei Fang, Gen Li et al.
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
Kun Ding, Haojian Zhang, Qiang Yu et al.
MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music
Shuai Yu
Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering
Qijun Gan, Wentong Li, Jinwei Ren et al.
Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation
Hyunjune Shin, Dong-Wan Choi
ReLUs Are Sufficient for Learning Implicit Neural Representations
Joseph Shenouda, Yamin Zhou, Robert Nowak
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
Dongjin Lee, Juho Lee, Kijung Shin
Scaling Supervised Local Learning with Augmented Auxiliary Networks
Chenxiang Ma, Jibin Wu, Chenyang Si et al.
When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach
TAO MA, Bing Bai, Haozhe Lin et al.
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
Mohamed Elsayed, Homayoon Farrahi, Felix Dangel et al.
Human Motion Prediction Under Unexpected Perturbation
Jiangbei Yue, Baiyi Li, Julien Pettré et al.
Denoising Autoregressive Representation Learning
Yazhe Li, Jorg Bornschein, Ting Chen
Language Model Guided Interpretable Video Action Reasoning
Ning Wang, Guangming Zhu, Hongsheng Li et al.
Monocular Identity-Conditioned Facial Reflectance Reconstruction
Xingyu Ren, Jiankang Deng, Yuhao Cheng et al.
Temporal Residual Jacobians for Rig-free Motion Transfer
Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri et al.
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
Zhirui Yang, Yulan Hu, Sheng Ouyang et al.
Frontier-enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation
Xinru Cui, Qiming Liu, Zhe Liu et al.
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance
Zexin Hu, Kun Hu, Clinton Mo et al.
Your Career Path Matters in Person-Job Fit
Zhuocheng Gong, Yang Song, Tao Zhang et al.
COMMA: Co-articulated Multi-Modal Learning
Authors: Lianyu Hu, Liqing Gao, Zekang Liu et al.
SuperPrimitive: Scene Reconstruction at a Primitive Level
Kirill Mazur, Gwangbin Bae, Andrew J. Davison
Unsupervised Extractive Summarization with Learnable Length Control Strategies
Renlong Jie, Xiaojun Meng, Xin Jiang et al.
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms
Tianhao Lu, Chao Bian, Chao Qian
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
Amutheezan Sivagnanam, Ava Pettet, Hunter Lee et al.
Learning Hierarchical Polynomials with Three-Layer Neural Networks
Zihao Wang, Eshaan Nichani, Jason Lee
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos
Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla et al.
Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment
Alvi Md Ishmam, Chris Thomas
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection.
Long Li, Nian Liu, Dingwen Zhang et al.
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Young-Jae Park, Minseok Seo, Doyi Kim et al.
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
Zahra Babaiee, Peyman Kiasari, Daniela Rus et al.
Efficient Algorithms for Sum-Of-Minimum Optimization
Lisang Ding, Ziang Chen, Xinshang Wang et al.
Text-Guided Video Masked Autoencoder
David Fan, Jue Wang, Shuai Liao et al.
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
Joey Hong, Anca Dragan, Sergey Levine
Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning
Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
You Huang, Zongyu Lan, Liujuan Cao et al.
Limited Query Graph Connectivity Test
Mingyu Guo, Jialiang Li, Aneta Neumann et al.
Dependency Structure-Enhanced Graph Attention Networks for Event Detection
Qizhi Wan, Changxuan wan, Keli Xiao et al.
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
Lin Tian, Thomas H Greer, Raul San Jose Estepar et al.
Image-adaptive 3D Lookup Tables for Real-time Image Enhancement with Bilateral Grids
Wontae Kim, Nam Ik Cho
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better
Vicente Balmaseda, Ying Xu, Yixin Cao et al.
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
Mathilde Caron, Ahmet Iscen, Alireza Fathi et al.
Exploiting Polarized Material Cues for Robust Car Detection
Wen Dong, Haiyang Mei, Ziqi Wei et al.
Do Transformer World Models Give Better Policy Gradients?
Michel Ma, Tianwei Ni, Clement Gehring et al.
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
Ruihao Gong, Yang Yong, Zining Wang et al.
Improving Generalization via Meta-Learning on Hard Samples
Nishant Jain, Arun Suggala, Pradeep Shenoy
GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth
Aurélien Cecille, Stefan Duffner, Franck DAVOINE et al.
On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles
Marcus Gozon, Jingjin Yu
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Arjun Subramonian, Levent Sagun, Yizhou Sun
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving
Xingtai Gui, Tengteng Huang, Haonan Shao et al.
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation
Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis et al.
Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model
Donggeun Yoon, Minseok Seo, Doyi Kim et al.
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning
Shibo Jie, Yehui Tang, Jianyuan Guo et al.
Shedding More Light on Robust Classifiers under the lens of Energy-based Models
Mujtaba Hussain Mirza, Maria Rosaria Briglia, Senad Beadini et al.
Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders
Lucas Stoffl, Andy Bonnetto, Stéphane D'Ascoli et al.
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
Yanqi Bao, Tianyu Ding, Jing Huo et al.
Differentiable Product Quantization for Memory Efficient Camera Relocalization
Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi et al.
Weight Conditioning for Smooth Optimization of Neural Networks
Hemanth Saratchandran, Thomas X Wang, Simon Lucey
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
GeonU Kim, Kim Youwang, Tae-Hyun Oh
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment
Ziping Ma, Furong Xu, Jian liu et al.
Unmasking Bias in Diffusion Model Training
Hu Yu, Li Shen, Jie Huang et al.
Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection
Zihan Zhang, Zhuo Xu, Xiang Xiang
SemReg: Semantics Constrained Point Cloud Registration
Sheldon Fung, Xuequan Lu, Dasith de Silva Edirimuni et al.
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
Youngmin Oh, Hyung-Il Kim, Seong Tae Kim et al.
CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoor Object Detection from Multi-view Images
Guanlin Shen, Jingwei Huang, Zhihua Hu et al.
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
Andrew Engel, Zhichao Wang, Natalie Frank et al.
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor
Han Liu, Siyang Zhao, Xiaotong Zhang et al.
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning
Yuting Ma, Yuanzhi Yao, Xiaohua Xu
BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image
Minje Kim, Tae-Kyun Kim
Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model
Guanren Qiao, Guiliang Liu, Guorui Quan et al.
EA-VTR: Event-Aware Video-Text Retrieval
Zongyang Ma, Ziqi Zhang, Yuxin Chen et al.
Post-hoc Part-Prototype Networks
Andong Tan, Fengtao ZHOU, Hao Chen
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts
Jianhao Li, Tianyu Sun, Zhongdao Wang et al.
Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization
Weihang Liu, Xue Xian Zheng, Jingyi Yu et al.
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image
Nailei Hei, Qianyu Guo, Zihao Wang et al.
Unsupervised Deep Unrolling Networks for Phase Unwrapping
Zhile Chen, Yuhui Quan, Hui Ji
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs
Kun Zhu, Chunhui Zhao
PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal Model
Amrin Kareem, Jean Lahoud, Hisham Cholakkal
Skill or Luck? Return Decomposition via Advantage Functions
Hsiao-Ru Pan, Bernhard Schoelkopf
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
Aram Davtyan, Paolo Favaro
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
Yanru Wu, Jianning Wang, Weida Wang et al.
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation
Shentong Mo, Enze Xie, Yue Wu et al.
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
Yanbo Wang, Jian Liang, Ran He
Agglomerative Token Clustering
Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor et al.
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang, Yushun Dong, Chen Chen et al.
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
Wei Chen, Zhiyi Huang, Ruichu Cai et al.
OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers
Qitai Wang, Jiawei He, Yuntao Chen et al.
Efficiently Computing Similarities to Private Datasets
Arturs Backurs, Zinan Lin, Sepideh Mahabadi et al.
Unveiling and Manipulating Prompt Influence in Large Language Models
Zijian Feng, Hanzhang Zhou, ZIXIAO ZHU et al.
On the Hardness of Probabilistic Neurosymbolic Learning
Jaron Maene, Vincent Derkinderen, Luc De Raedt
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto Tomasini, Matthieu Wyart
MICap: A Unified Model for Identity-Aware Movie Descriptions
Haran Raajesh, Naveen Reddy Desanur, Zeeshan Khan et al.
Probabilistic Neural Circuits
Pedro Zuidberg Dos Martires
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning
Subhabrata Dutta, Ishan Pandey, Joykirat Singh et al.
Recovering Labels from Local Updates in Federated Learning
Huancheng Chen, Haris Vikalo