Most Cited 2024 "transformers" Papers
12,324 papers found • Page 32 of 62
Conference
Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning
Fanyue Wei, Wei Zeng, Zhenyang Li et al.
Task structure and nonlinearity jointly determine learned representational geometry
Matteo Alleman, Jack Lindsey, Stefano Fusi
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
Yiting Chen, Zhanpeng Zhou, Junchi Yan
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
Shikai Fang, Madison Cooley, Da Long et al.
ByteEdit: Boost, Comply and Accelerate Generative Image Editing
YUXI REN, Jie Wu, Yanzuo Lu et al.
Event-Aided Time-To-Collision Estimation for Autonomous Driving
Jinghang Li, Bangyan Liao, Xiuyuan LU et al.
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
HeeSun Bae, Seungjae Shin, Byeonghu Na et al.
Understanding Inter-Concept Relationships in Concept-Based Models
Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik
Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
Kewei Wang, Yizheng Wu, Zhiyu Pan et al.
Cross-Modal Match for Language Conditioned 3D Object Grounding
Yachao Zhang, Runze Hu, Ronghui Li et al.
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
Samuele Poppi, Tobia Poppi, Federico Cocchi et al.
Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection
Xingyu Peng, Yan Bai, Chen Gao et al.
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
Lior Talker, Aviad Cohen, Erez Yosef et al.
Translation Equivariant Transformer Neural Processes
Matthew Ashman, Cristiana Diaconu, Junhyuck Kim et al.
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo et al.
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
Lin Zhu, Yifeng Yang, Qinying Gu et al.
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation
Jialu Li, Aishwarya Padmakumar, Gaurav Sukhatme et al.
Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge
Haoxiang Ma, Modi Shi, Boyang GAO et al.
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang, Ziqing Fan, Jiangchao Yao et al.
PTMQ: Post-training Multi-Bit Quantization of Neural Networks
Ke Xu, Zhongcheng Li, Shanshan Wang et al.
A Distributional Analogue to the Successor Representation
Harley Wiltzer, Jesse Farebrother, Arthur Gretton et al.
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data
Tuo FENG, Wenguan Wang, Ruijie Quan et al.
Characteristics Matching Based Hash Codes Generation for Efficient Fine-grained Image Retrieval
Zhen-Duo Chen, Li-Jun Zhao, Zi-Chao Zhang et al.
AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition
Fadi Boutros, Vitomir Struc, Naser Damer
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency
Fuhao Li, Ziyang Gong, Yupeng Deng et al.
Multi-View Dynamic Reflection Prior for Video Glass Surface Detection
Fang Liu, Yuhao Liu, Jiaying Lin et al.
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
Tianyu Luan, Zhong Li, Lele Chen et al.
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
Mintong Kang, Nezihe Merve Gürel, Linyi Li et al.
COALA: A Practical and Vision-Centric Federated Learning Platform
Weiming Zhuang, Jian Xu, Chen Chen et al.
Free Lunch for Gait Recognition: A Novel Relation Descriptor
Jilong Wang, Saihui Hou, Yan Huang et al.
Length-Aware Motion Synthesis via Latent Diffusion
Alessio Sampieri, Alessio Palma, Indro Spinelli et al.
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
Zelei Cheng, Xian Wu, Jiahao Yu et al.
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
Tung Le, Khai Nguyen, Shanlin Sun et al.
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
Shengtao Li, Ge Gao, Yudong Liu et al.
VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda et al.
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Fran Jelenić, Josip Jukić, Martin Tutek et al.
Creative Text-to-Audio Generation via Synthesizer Programming
Manuel Cherep, Nikhil Singh, Jessica Shand
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng, Yongyuan Liang, xiyao wang et al.
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
Axel Laborieux, Friedemann Zenke
Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching
Huatian Zhang, Lei Zhang, Kun Zhang et al.
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Yanqiao Zhu, Jeehyun Hwang, Keir Adams et al.
Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping
Hyeongjun Kwon, Jinhyun Jang, Jin Kim et al.
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Hang Du, Xuejun Yan, Jingjing Wang et al.
CatFormer: Category-Level 6D Object Pose Estimation with Transformer
Sheng Yu, Dihua Zhai, Yuanqing Xia
Exact ASP Counting with Compact Encodings
Mohimenul Kabir, Supratik Chakraborty, Kuldeep S Meel
Multilinear Operator Networks
Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos et al.
Curved Representation Space of Vision Transformers
Juyeop Kim, Junha Park, Songkuk Kim et al.
Object-Centric Learning with Slot Mixture Module
Daniil Kirilenko, Vitaliy Vorobyov, Aleksey Kovalev et al.
Dense Vision Transformer Compression with Few Samples
Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
Xiaopei Wu, Liang Peng, Liang Xie et al.
Combinatorial Stochastic-Greedy Bandit
Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini et al.
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Mingyuan Sun, Donghao Zhang, Zongyuan Ge et al.
Self-Training Based Few-Shot Node Classification by Knowledge Distillation
Zongqian Wu, Yujie Mo, Peng Zhou et al.
Rasterized Edge Gradients: Handling Discontinuities Differentially
Stanislav Pidhorskyi, Tomas Simon, Gabriel Schwartz et al.
De-biased Attention Supervision for Text Classification with Causality
Yiquan Wu, Yifei Liu, Ziyu Zhao et al.
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui et al.
3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow
Felix Taubner, Prashant Raina, Mathieu Tuli et al.
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
Jiawei Zhou, Xiaoguang Li, Lifeng Shang et al.
Learning Degradation-Independent Representations for Camera ISP Pipelines
Yanhui Guo, Fangzhou Luo, Xiaolin Wu
Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
Chaolei Tan, Jianhuang Lai, Wei-Shi Zheng et al.
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman
SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views
Shi-Sheng Huang, Zixin Zou, Yichi Zhang et al.
Learning from One Continuous Video Stream
Joao Carreira, Michael King, Viorica Patraucean et al.
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
Dongyeong Hwang, Hyunju Kim, Sunwoo Kim et al.
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Yifei Ming, Sharon Li
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting
Qi Wang, Ruijie Lu, Xudong XU et al.
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
Rui Li, Chaozhuo Li, Yanming Shen et al.
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
Julien Fageot, Lê-Nguyên Hoang, Oscar Villemaud et al.
Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs
Aayam Shrestha, Pan Liu, German Ros et al.
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective
Fangzhou Song, Bin Zhu, Yanbin Hao et al.
AnimateMe: 4D Facial Expressions via Diffusion Models
Dimitrios Gerogiannis, Foivos Paraperas Papantoniou, Rolandos Alexandros Potamias et al.
Anchor-based Robust Finetuning of Vision-Language Models
Jinwei Han, Zhiwen Lin, Zhongyisun Sun et al.
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
Giovanni De Felice, Andrea Cini, Daniele Zambon et al.
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin
A2Q+: Improving Accumulator-Aware Weight Quantization
Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig et al.
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain, Vaibhav Unhelkar
NOVUM: Neural Object Volumes for Robust Object Classification
Artur Jesslen, Guofeng Zhang, Angtian Wang et al.
Domain Generalization with Vital Phase Augmentation
Ingyun Lee, WooJu Lee, Hyun Myung
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
HAOYUE DAI, Ignavier Ng, Gongxu Luo et al.
Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Riccardo De Santi, Manish Prajapat, Andreas Krause
Adversarial Purification with the Manifold Hypothesis
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang et al.
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
Haoyu Deng, Zijing Xu, Yule Duan et al.
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
Lujing Zhang, Aaron Roth, Linjun Zhang
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems
Ziyuan Luo, Boxin Shi, Haoliang Li et al.
Nonparametric Teaching of Implicit Neural Representations
Chen Zhang, Steven T. S. Luo, Jason Chun Lok Li et al.
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Shida Wang, Zhong Li, Qianxiao Li
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds
Heejoon Moon, Chunghwan Lee, Je Hyeong Hong
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
Claudio Rota, Marco Buzzelli, Joost Van de Weijer
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li, Zifan LIU, Shibo Chen et al.
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
Changqing Qiu, Fusheng Jin, Yining Zhang
Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM
Tongyan Hua, Addison, Lin Wang
On the Calibration of Human Pose Estimation
Kerui Gu, Rongyu Chen, Xuanlong Yu et al.
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation
Soojin Jang, JungMin Yun, JuneHyoung Kwon et al.
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Zi-Hao Qiu, Siqi Guo, Mao Xu et al.
2043 Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding
Yanmei Zou, Hongshan Yu, Zhengeng Yang et al.
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski et al.
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
Jamie Watson, Filippo Aleotti, Mohamed Sayed et al.
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo
Federated Wasserstein Distance
alain rakotomamonjy, Kimia Nadjahi, Liva Ralaivola
A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights
Davide Legacci, Panayotis Mertikopoulos, Bary Pradelski
Maximizing Nash Social Welfare under Two-Sided Preferences
Pallavi Jain, Rohit Vaish
Emerging Property of Masked Token for Effective Pre-training
Hyesong Choi, Hunsang Lee, Seyoung Joung et al.
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera
Chengxu Liu, Xuan Wang, Yuanting Fan et al.
Understanding prompt engineering may not require rethinking generalization
Victor Akinwande, Yiding Jiang, Dylan Sam et al.
Design2Cloth: 3D Cloth Generation from 2D Masks
Jiali Zheng, Rolandos Alexandros Potamias, Stefanos Zafeiriou
Distilling ODE Solvers of Diffusion Models into Smaller Steps
Sanghwan Kim, Hao Tang, Fisher Yu
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
Diandian Guo, Deng-Ping Fan, Tongyu Lu et al.
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang, Bin Liang, An Liu et al.
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
Hongda Sun, Hongzhan Lin, Rui Yan
B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
Hao Wang, Qiang Song, Ruofeng Yin et al.
Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting
Markus Brill, Jannik Peters
On the Tractability of SHAP Explanations under Markovian Distributions
Reda Marzouk, De la Higuera
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
Changyu Gao, Andrew Lowy, Xingyu Zhou et al.
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation
ChenHan Jiang, Yihan Zeng, Tianyang Hu et al.
Adaptive Multi-head Contrastive Learning
Lei Wang, Piotr Koniusz, Tom Gedeon et al.
Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning
Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram et al.
Patched Line Segment Learning for Vector Road Mapping
Jiakun Xu, Bowen Xu, Gui-Song Xia et al.
Cross-view Masked Diffusion Transformers for Person Image Synthesis
Trung Pham, Kang Zhang, Chang Yoo
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
Junbo Li, Zichen Miao, Qiang Qiu et al.
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
Martina G. Vilas, Federico Adolfi, David Poeppel et al.
Mixture of Weak and Strong Experts on Graphs
Hanqing Zeng, Hanjia Lyu, Diyi Hu et al.
Uncertainty Estimation by Density Aware Evidential Deep Learning
Taeseong Yoon, Heeyoung Kim
The Marginal Value of Momentum for Small Learning Rate SGD
Runzhe Wang, Sadhika Malladi, Tianhao Wang et al.
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Chenlu Ye, Jiafan He, Quanquan Gu et al.
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap
Junhao Dong, Piotr Koniusz, Junxi Chen et al.
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities
Kaiwen Cai, ZheKai Duan, Gaowen Liu et al.
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
Roi Benita, Michael Elad, Joseph Keshet
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
Zhihao Cao, ZiDong Wang, Siwen Xie et al.
Debiased Novel Category Discovering and Localization
Juexiao Feng, Yuhong Yang, Yanchun Xie et al.
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
Florian Kluger, Bodo Rosenhahn
Symmetric Self-Paced Learning for Domain Generalization
Di Zhao, Yun Sing Koh, Gillian Dobbie et al.
Jacobian Regularizer-based Neural Granger Causality
Wanqi Zhou, Shuanghao Bai, Shujian Yu et al.
Robust NAS under adversarial training: benchmark, theory, and beyond
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel et al.
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim et al.
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks
Khurram Javed, Haseeb Shah, Richard Sutton et al.
DNI: Dilutional Noise Initialization for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong et al.
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
Xinghao Wang, Junliang He, Pengyu Wang et al.
Self-supervised visual learning from interactions with objects
Arthur Aubret, Céline Teulière, Jochen Triesch
CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images
Jisu Shin, Junmyeong Lee, Seongmin Lee et al.
Scalable Neural Network Kernels
Arijit Sehanobish, Krzysztof Choromanski, YUNFAN ZHAO et al.
Intrinsic Single-Image HDR Reconstruction
Sebastian Dille, Chris Careaga, Yagiz Aksoy
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing
Wonjun Kang, Kevin Galim, Hyung Il Koo
LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow
Hongyu Wen, Erich Liang, Jia Deng
Scaling Backwards: Minimal Synthetic Pre-training?
Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada et al.
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection
Kuo Wang, Lechao Cheng, Weikai Chen et al.
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation
Jiefeng Li, Ye Yuan, Davis Rempe et al.
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale
Keenon Werling, Janelle M Kaneda, Tian Tan et al.
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
Sungyeon Kim, Boseung Jeong, Donghyun Kim et al.
Compress3D: a Compressed Latent Space for 3D Generation from a Single Image
Bowen Zhang, Tianyu Yang, Yu Li et al.
Quality Assured: Rethinking Annotation Strategies in Imaging AI
Tim Rädsch, Annika Reinke, Vivienn Weru et al.
WorldPose: A World Cup Dataset for Global 3D Human Pose Estimation
Tianjian Jiang, Johsan Billingham, Sebastian Müksch et al.
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao, Xiaohan Ding, Juexiao Feng et al.
PQ-SAM: Post-training Quantization for Segment Anything Model
Xiaoyu Liu, Xin Ding, Lei Yu et al.
Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals
Camilo Fosco, Benjamin Lahner, Bowen Pan et al.
GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence
Pengyuan Wang, Takuya Ikeda, Robert Lee et al.
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering
Benjamin Attal, Dor Verbin, Ben Mildenhall et al.
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
Zhaoxin Wang, Handing Wang, Cong Tian et al.
3D Small Object Detection with Dynamic Spatial Pruning
Xiuwei Xu, Zhihao Sun, Ziwei Wang et al.
Hyperion – A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM
David Hug, Ignacio Alzugaray Lopez, Margarita Chli
SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis
Huan-ang Gao, Mingju Gao, Jiaju Li et al.
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee, Ryan X Sharp, Rishabh Iyer
DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction
Yuxin Yao, Siyu Ren, Junhui Hou et al.
Learning Diffusion Models for Multi-View Anomaly Detection
Chieh Liu, Yu-Min Chu, Ting-I Hsieh et al.
Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
Xiangyu Liao, Tianheng Zheng, Jiayu Zhong et al.
FlexAttention for Efficient High-Resolution Vision-Language Models
Junyan Li, Delin Chen, Tianle Cai et al.
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
Nikolai Körber, Eduard Kromer, Andreas Siebert et al.
GenRC: Generative 3D Room Completion from Sparse Image Collections
Ming-Feng Li, Yueh-Feng Ku, Hong-Xuan Yen et al.
CountFormer: Multi-View Crowd Counting Transformer
Hong Mo, Xiong Zhang, Jianchao Tan et al.
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception
Xiaosu Zhu, Hualian Sheng, Sijia Cai et al.
ActionVOS: Actions as Prompts for Video Object Segmentation
LIANGYANG OUYANG, Ruicong Liu, Yifei Huang et al.
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon
Take A Step Back: Rethinking the Two Stages in Visual Reasoning
Mingyu Zhang, Jiting Cai, Mingyu Liu et al.
ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model
Fu-Yun Wang, Zhaoyang Huang, Qiang Ma et al.
SLIM: Spuriousness Mitigation with Minimal Human Annotations
Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin et al.
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
Guoxing Sun, Rishabh Dabral, Pascal Fua et al.
Fully Authentic Visual Question Answering Dataset from Online Communities
Chongyan Chen, Mengchen Liu, Noel C Codella et al.
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
Qichen Zheng, Yi Yu, SIYUAN YANG et al.
WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification
Yonggan Wu, Ling-Chao Meng, Yuan Zichao et al.
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model
Danni Yang, Ruohan Dong, Jiayi Ji et al.
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
Sojin Lee, Dogyun Park, Inho Kong et al.
BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion
Bo-Kyeong Kim, Hyoung-Kyu Song, Thibault Castells et al.
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models
xinjian wu, Ruisong Zhang, Jie Qin et al.
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Abed El Kader Hammoud, Tuhin Das, Fabio Pizzati et al.
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°
Yuxiao He, Yiyu Zhuang, Yanwen Wang et al.
Taming Lookup Tables for Efficient Image Retouching
Sidi Yang, Binxiao Huang, Mingdeng Cao et al.
DualDn: Dual-domain Denoising via Differentiable ISP
Ruikang Li, Yujin Wang, Shiqi Chen et al.
PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines
Zidong Wang, Zeyu Lu, Di Huang et al.
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation
Xinzhi MU, Li Chen, Bohan CHEN et al.
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation
Ruijie Xu, Chuyu Zhang, Hui Ren et al.
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
Baochang Zhang, Zhi Qiao, Runkun Liu et al.
Relightable Neural Actor with Intrinsic Decomposition and Pose Control
Diogo Carbonera Luvizon, Vladislav Golyanik, Adam Kortylewski et al.
CityGuessr: City-Level Video Geo-Localization on a Global Scale
Parth Parag Kulkarni, Gaurav Kumar Nayak, Shah Mubarak
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
Chenliang Zhou, Fangcheng Zhong, Param Hanji et al.
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
Hao Xu, Xi Zhang, Xiaolin Wu
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li, Yibo Yang, Xiangtai Li et al.
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon et al.
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen, Stefan Uhlich, Fabien Cardinaux et al.
HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos
Lixin Xue, Chen Guo, Chengwei Zheng et al.
Certifiably Robust Image Watermark
Zhengyuan Jiang, Moyang Guo, Yuepeng Hu et al.
3D Reconstruction of Objects in Hands without Real World 3D Supervision
Aditya Prakash, Matthew Chang, Matthew Jin et al.