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TechcraftingAI Computer Vision
TechcraftingAI Computer Vision
Author: Brad Edwards
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TechcraftingAI Computer Vision brings you summaries of the latest arXiv research daily. Research is read by your virtual host, Sage. The podcast is produced by Brad Edwards, an AI Engineer from Vancouver, BC, and a graduate student of computer science studying AI at the University of York. Thank you to arXiv for use of its open access interoperability.
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ArXiv Computer Vision research for Thursday, June 13, 2024.
00:21: LRM-Zero: Training Large Reconstruction Models with Synthesized Data
01:56: Scale-Invariant Monocular Depth Estimation via SSI Depth
03:08: GGHead: Fast and Generalizable 3D Gaussian Heads
04:55: Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
06:34: Towards Vision-Language Geo-Foundation Model: A Survey
08:11: SimGen: Simulator-conditioned Driving Scene Generation
09:44: Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition
11:03: Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior
12:32: LLAVIDAL: Benchmarking Large Language Vision Models for Daily Activities of Living
13:56: WonderWorld: Interactive 3D Scene Generation from a Single Image
15:21: Modeling Ambient Scene Dynamics for Free-view Synthesis
16:29: Too Many Frames, not all Useful:Efficient Strategies for Long-Form Video QA
17:50: Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
19:39: Real-Time Deepfake Detection in the Real-World
21:17: OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
23:02: Yo'LLaVA: Your Personalized Language and Vision Assistant
24:30: MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
26:26: Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion
28:03: Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
29:59: ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing
31:24: 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
33:16: Towards Evaluating the Robustness of Visual State Space Models
34:57: Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
36:09: CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
37:37: Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach
40:02: MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
41:40: Explore the Limits of Omni-modal Pretraining at Scale
42:46: Interpreting the Weight Space of Customized Diffusion Models
43:58: Depth Anything V2
45:12: An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
46:23: Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
48:11: Rethinking Score Distillation as a Bridge Between Image Distributions
49:44: VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
ArXiv Computer Vision research for Thursday, June 13, 2024.
00:21: INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance
02:11: Large-Scale Evaluation of Open-Set Image Classification Techniques
03:43: PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation
05:00: MMRel: A Relation Understanding Dataset and Benchmark in the MLLM Era
06:41: Auto-Vocabulary Segmentation for LiDAR Points
07:30: AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
08:43: EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
10:23: Fine-Grained Domain Generalization with Feature Structuralization
12:03: SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
14:13: ReMI: A Dataset for Reasoning with Multiple Images
15:41: A Large-scale Universal Evaluation Benchmark For Face Forgery Detection
17:26: Thoracic Surgery Video Analysis for Surgical Phase Recognition
18:58: Reducing Task Discrepancy of Text Encoders for Zero-Shot Composed Image Retrieval
20:40: Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
22:26: CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification
24:22: Enhanced Object Detection: A Study on Vast Vocabulary Object Detection Track for V3Det Challenge 2024
25:21: Optimizing Visual Question Answering Models for Driving: Bridging the Gap Between Human and Machine Attention Patterns
26:30: WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals
27:44: MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction
29:28: Comparison Visual Instruction Tuning
30:51: MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
32:14: Deep Transformer Network for Monocular Pose Estimation of Ship-Based UAV
33:10: Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos
34:33: Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
36:04: StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning
37:30: Parameter-Efficient Active Learning for Foundational models
38:31: Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation
40:22: Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases
42:38: Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans
44:36: Memory-Efficient Sparse Pyramid Attention Networks for Whole Slide Image Analysis
46:19: Instance-level quantitative saliency in multiple sclerosis lesion segmentation
48:37: CMC-Bench: Towards a New Paradigm of Visual Signal Compression
50:05: Needle In A Video Haystack: A Scalable Synthetic Framework for Benchmarking Video MLLMs
52:05: CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
ArXiv Computer Vision research for Thursday, June 13, 2024.
00:21: FouRA: Fourier Low Rank Adaptation
01:41: Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
03:18: Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
04:57: Skim then Focus: Integrating Contextual and Fine-grained Views for Repetitive Action Counting
06:46: ToSA: Token Selective Attention for Efficient Vision Transformers
08:00: Computer vision-based model for detecting turning lane features on Florida's public roadways
09:08: Improving Adversarial Robustness via Feature Pattern Consistency Constraint
10:52: Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network
12:10: NeRF Director: Revisiting View Selection in Neural Volume Rendering
13:36: Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
15:03: Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability,Reproducibility, and Practicality
16:40: COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing
18:16: Fusion of regional and sparse attention in Vision Transformers
19:26: Zoom and Shift are All You Need
20:17: EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding
21:49: The Penalized Inverse Probability Measure for Conformal Classification
23:24: OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction
24:47: Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation
26:30: Computer Vision Approaches for Automated Bee Counting Application
27:17: Dual Attribute-Spatial Relation Alignment for 3D Visual Grounding
28:16: A Label-Free and Non-Monotonic Metric for Evaluating Denoising in Event Cameras
29:43: Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid Transformer
31:25: Neural NeRF Compression
32:29: Preserving Identity with Variational Score for General-purpose 3D Editing
33:50: AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
34:51: Adaptive Temporal Motion Guided Graph Convolution Network for Micro-expression Recognition
36:10: Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation
37:34: AMSA-UNet: An Asymmetric Multiple Scales U-net Based on Self-attention for Deblurring
38:49: Cross-Modal Learning for Anomaly Detection in Fused Magnesium Smelting Process: Methodology and Benchmark
40:45: A PCA based Keypoint Tracking Approach to Automated Facial Expressions Encoding
42:02: Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?
43:28: FacEnhance: Facial Expression Enhancing with Recurrent DDPMs
45:11: How structured are the representations in transformer-based vision encoders? An analysis of multi-object representations in vision-language models
47:08: Suitability of KANs for Computer Vision: A preliminary investigation
ArXiv Computer Vision research for Wednesday, June 12, 2024.
00:20: From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition
02:09: APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentatio
03:57: 2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction
05:47: DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor
06:58: Eyes Wide Unshut: Unsupervised Mistake Detection in Egocentric Video by Detecting Unpredictable Gaze
08:02: LaneCPP: Continuous 3D Lane Detection using Physical Priors
09:23: FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation
11:10: VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
12:46: MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
14:39: OmniCorpus: An Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
16:49: AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images
18:15: Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
19:58: Coherent Optical Modems for Full-Wavefield Lidar
21:32: Transformation-Dependent Adversarial Attacks
22:45: PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancement
24:10: GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices
25:57: ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
27:26: Self-supervised Learning of Neural Implicit Feature Fields for Camera Pose Refinement
28:51: Real2Code: Reconstruct Articulated Objects via Code Generation
30:02: Human 3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
31:42: RMem: Restricted Memory Banks Improve Video Object Segmentation
33:12: What If We Recaption Billions of Web Images with LLaMA-3?
34:42: Real3D: Scaling Up Large Reconstruction Models with Real-World Images
36:07: Enhancing End-to-End Autonomous Driving with Latent World Model
37:12: Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation
38:43: On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
40:16: Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models
42:15: ICE-G: Image Conditional Editing of 3D Gaussian Splats
ArXiv Computer Vision research for Wednesday, June 12, 2024.
00:21: From Sim-to-Real: Toward General Event-based Low-light Frame Interpolation with Per-scene Optimization
01:44: Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement
03:20: Adversarial Patch for 3D Local Feature Extractor
04:00: Valeo4Cast: A Modular Approach to End-to-End Forecasting
05:38: The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study
08:50: Universal Scale Laws for Colors and Patterns in Imagery
10:11: CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer
11:44: ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
13:25: Continuous fake media detection: adapting deepfake detectors to new generative techniques
15:18: Category-level Neural Field for Reconstruction of Partially Observed Objects in Indoor Environment
16:23: One-Step Effective Diffusion Network for Real-World Image Super-Resolution
18:12: 2nd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation
19:22: Diffusion-Promoted HDR Video Reconstruction
21:09: Runtime Freezing: Dynamic Class Loss for Multi-Organ 3D Segmentation
21:52: A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion
23:54: DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
25:28: Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games
26:39: OpenCOLE: Towards Reproducible Automatic Graphic Design Generation
27:23: Dataset Enhancement with Instance-Level Augmentations
28:33: Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
29:33: A New Class Biorthogonal Spline Wavelet for Image Edge Detection
30:48: Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
32:10: Vessel Re-identification and Activity Detection in Thermal Domain for Maritime Surveillance
33:32: AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
35:09: From Chaos to Clarity: 3DGS in the Dark
36:32: LaMOT: Language-Guided Multi-Object Tracking
38:07: UDON: Universal Dynamic Online distillatioN for generic image representations
39:49: WMAdapter: Adding WaterMark Control to Latent Diffusion Models
40:48: Blind Image Deblurring using FFT-ReLU with Deep Learning Pipeline Integration
42:06: DocSynthv2: A Practical Autoregressive Modeling for Document Generation




