Vijay Kumar B G
12 papers · 2016–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21)
🧭
Keyword Pioneer
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Computer Vision
(6)
Machine Learning
(5)
Analysis
(4)
Artificial Intelligence
(3)
Core AI · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Keywords
open-vocabulary object detection
(2)
large language model
(2)
object detection
(2)
open-vocabulary detection
(2)
style transfer
(1)
embedding learning
(1)
video generation
(1)
visual question answering
(1)
data augmentation
(1)
question decomposition
(1)
referring expression
(1)
visual reasoning
(1)
pseudo labeling
(1)
generative model
(1)
diffusion model
(1)
convolutional neural network
(1)
tool use
(1)
model generalization
(1)
text-to-image diffusion
(1)
private learning
(1)
Papers
DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning
ICCV 2025
Generating Enhanced Negatives for Training Language-Based Object Detectors
CVPR 2024
Taming Self-Training for Open-Vocabulary Object Detection
CVPR 2024
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
NeurIPS 2023
Exploring Question Decomposition for Zero-Shot VQA
NeurIPS 2023
OmniLabel: A Challenging Benchmark for Language-Based Object Detection
ICCV 2023
Exploiting Unlabeled Data with Vision and Language Models for Object Detection
ECCV 2022
Single-Stream Multi-level Alignment for Vision-Language Pretraining
ECCV 2022
STRIVE: Scene Text Replacement in Videos
ICCV 2021
DeepSetNet: Predicting Sets With Deep Neural Networks
ICCV 2017
Smart Mining for Deep Metric Learning
ICCV 2017
Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
CVPR 2016