19 citations · 21 across the 7 of their papers we have counts for
8 papers
LoGo: Local-Global Rewards for Consistent Long-Horizon Video Generation
Ziqi Ma, Shreya Sharma, Mohamed El Banani +8
Camera-controlled video models are rapidly advancing toward long generation horizons and complex camera control. A key failure mode is 3D inconsistency: as the camera moves, object…
C2GA: A Class-Controllable Generative Augmentation Framework for Respiratory Sound Classification
Ziqi Ma, Mengyu Han, Anteng Cai +4
Background: Respiratory sound classification plays a critical role in the clinical identification of pulmonary pathologies. However, its performance is often hindered by the limite…
Out of Sight, Out of Mind? Evaluating State Evolution in Video World Models
Ziqi Ma, Mengzhan Liufu, Georgia Gkioxari
Evolutions in the world, such as water pouring or ice melting, happen regardless of being observed. Video world models generate "worlds" via 2D frame observations. Can these genera…
Feedforward 3D Editing via Text-Steerable Image-to-3D
Ziqi Ma, Hongqiao Chen, Yisong Yue +1
Recent progress in image-to-3D has opened up immense possibilities for design, AR/VR, and robotics. However, to use AI-generated 3D assets in real applications, a critical requirem…
SAM 3D: 3Dfy Anything in Images
SAM 3D Team, Xingyu Chen, Fu-Jen Chu +20
We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geometry, texture, and layout from a single image. SAM 3D excels in natural images,…
Find Any Part in 3D
Ziqi Ma, Yisong Yue, Georgia Gkioxari
Why don't we have foundation models in 3D yet? A key limitation is data scarcity. For 3D object part segmentation, existing datasets are small in size and lack diversity. We show t…
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
Ziqi Ma, Kamyar Azizzadenesheli, Anima Anandkumar
Operator learning has been increasingly adopted in scientific and engineering applications, many of which require calibrated uncertainty quantification. Since the output of operato…
Adaptive Circuit Learning for Quantum Metrology
Ziqi Ma, Pranav Gokhale, Tian-Xing Zheng +5
Quantum sensing is an important application of emerging quantum technologies. We explore whether a hybrid system of quantum sensors and quantum circuits can surpass the classical l…